From f2cd393fdd825e552682d213f2044942e3ec0228 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Tue, 22 Mar 2022 11:17:28 +0100
Subject: [PATCH] Add AdaBoost and BaggingStree results

---
 ...sults_accuracy_AdaBoostStree_Galgo_2022-03-22_10:22:40_0.json | 1 +
 ...esults_accuracy_BaggingStree_Galgo_2022-03-21_23:12:07_0.json | 1 +
 2 files changed, 2 insertions(+)
 create mode 100644 results/results_accuracy_AdaBoostStree_Galgo_2022-03-22_10:22:40_0.json
 create mode 100644 results/results_accuracy_BaggingStree_Galgo_2022-03-21_23:12:07_0.json

diff --git a/results/results_accuracy_AdaBoostStree_Galgo_2022-03-22_10:22:40_0.json b/results/results_accuracy_AdaBoostStree_Galgo_2022-03-22_10:22:40_0.json
new file mode 100644
index 0000000..50a25bd
--- /dev/null
+++ b/results/results_accuracy_AdaBoostStree_Galgo_2022-03-22_10:22:40_0.json
@@ -0,0 +1 @@
+{"score_name": "accuracy", "title": "With gridsearched hyperparams v022", "model": "AdaBoostStree", "version": "-", "stratified": false, "folds": 5, "date": "2022-03-22", "time": "10:22:40", "duration": 2524.4437696933746, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "Galgo", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 10000.0, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 6.4637142857142855, "leaves": 3.7318571428571428, "depth": 3.2246190476190475, "score": 0.9467199999999998, "score_std": 0.02741608287119075, "time": 0.1681920385360718, "time_std": 0.04650269798550494}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 2.5893650793650793, "leaves": 1.7946825396825397, "depth": 1.7946825396825397, "score": 0.5883333333333334, "score_std": 0.2922185255363983, "time": 0.008934655189514161, "time_std": 0.005204651317147909}, {"dataset": "breast-cancer-wisc-diag", "samples": 569, "features": 30, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.2, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 15.176630036630037, "leaves": 8.088315018315019, "depth": 5.328851315351316, "score": 0.965208818506443, "score_std": 0.017534814652474875, "time": 0.191889009475708, "time_std": 0.10101493490523845}, {"dataset": "breast-cancer-wisc-prog", "samples": 198, "features": 33, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.2, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 17.837333333333333, "leaves": 9.418666666666667, "depth": 6.210333333333333, "score": 0.7429871794871794, "score_std": 0.060556455638739515, "time": 0.07235260009765625, "time_std": 0.02198547469330968}, {"dataset": "breast-cancer-wisc", "samples": 699, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.6552168550873587, "score_std": 0.030148583929326095, "time": 2.0517171525955202, "time_std": 2.694885143062633}, {"dataset": "breast-cancer", "samples": 286, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 14.221599999999999, "leaves": 7.610799999999999, "depth": 4.9514, "score": 0.7236660617059891, "score_std": 0.05095152367115514, "time": 0.09265260696411133, "time_std": 0.18321776122557148}, {"dataset": "cardiotocography-10clases", "samples": 2126, "features": 21, "classes": 10, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 10.588285714285712, "leaves": 5.794142857142857, "depth": 4.4599761904761905, "score": 0.5005180889257111, "score_std": 0.04995129762950709, "time": 5.780659880638122, "time_std": 1.7193370238462815}, {"dataset": "cardiotocography-3clases", "samples": 2126, "features": 21, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 4.8638095238095245, "leaves": 2.9319047619047613, "depth": 2.6858571428571425, "score": 0.8093581883457608, "score_std": 0.026117652788206547, "time": 3.48519419670105, "time_std": 4.9692642108249245}, {"dataset": "conn-bench-sonar-mines-rocks", "samples": 208, "features": 60, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.16, "leaves": 1.08, "depth": 1.08, "score": 0.5323461091753775, "score_std": 0.09279429195807963, "time": 0.1374876070022583, "time_std": 0.32287215419623816}, {"dataset": "cylinder-bands", "samples": 512, "features": 35, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.6093774985722444, "score_std": 0.03505142027915009, "time": 1.130941481590271, "time_std": 1.7545349894528732}, {"dataset": "dermatology", "samples": 366, "features": 34, "classes": 6, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 55, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 13.548250000000001, "leaves": 7.274125000000001, "depth": 6.9955, "score": 0.9669085523880045, "score_std": 0.020332364543257524, "time": 0.05558328628540039, "time_std": 0.19077311030673016}, {"dataset": "echocardiogram", "samples": 131, "features": 10, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__splitter": "random", "base_estimator__max_features": "auto"}, "nodes": 2.9466666666666668, "leaves": 1.9733333333333334, "depth": 1.9733333333333334, "score": 0.8459259259259259, "score_std": 0.08346283068998347, "time": 0.034714970588684085, "time_std": 0.007529076674142056}, {"dataset": "fertility", "samples": 100, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.05, "base_estimator__max_features": "auto", "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 8.257428571428571, "leaves": 4.628714285714285, "depth": 3.3383650793650794, "score": 0.88, "score_std": 0.0547722557505166, "time": 0.1759882926940918, "time_std": 0.10389273238353973}, {"dataset": "haberman-survival", "samples": 306, "features": 3, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 9.187866666666666, "leaves": 5.093933333333333, "depth": 3.8166, "score": 0.7392490745637229, "score_std": 0.048587470789981296, "time": 0.062480297088623044, "time_std": 0.14071935879860958}, {"dataset": "heart-hungarian", "samples": 294, "features": 12, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.05, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 11.141238095238096, "leaves": 6.070619047619048, "depth": 4.189523809523809, "score": 0.8306078316773815, "score_std": 0.04615738626945697, "time": 0.07376032352447509, "time_std": 0.02351022620603184}, {"dataset": "hepatitis", "samples": 155, "features": 19, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.52, "leaves": 1.26, "depth": 1.26, "score": 0.7935483870967742, "score_std": 0.07126039365927266, "time": 0.0782387924194336, "time_std": 0.17116014004582697}, {"dataset": "ilpd-indian-liver", "samples": 583, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 5.073200000000001, "leaves": 3.0365999999999995, "depth": 2.702666666666666, "score": 0.7173239021514882, "score_std": 0.03828669818812352, "time": 0.08673681735992432, "time_std": 0.18836314920466618}, {"dataset": "ionosphere", "samples": 351, "features": 33, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.542266666666667, "leaves": 1.2711333333333334, "depth": 1.2711333333333334, "score": 0.6955010060362173, "score_std": 0.07935799133417346, "time": 0.4128980493545532, "time_std": 1.0297651635077736}, {"dataset": "iris", "samples": 150, "features": 4, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 4.3966666666666665, "leaves": 2.6983333333333337, "depth": 2.6983333333333337, "score": 0.7993333333333333, "score_std": 0.10165081843688664, "time": 0.018909974098205565, "time_std": 0.00421778577792536}, {"dataset": "led-display", "samples": 1000, "features": 7, "classes": 10, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 25.121428571428574, "leaves": 13.060714285714287, "depth": 11.185761904761902, "score": 0.5921, "score_std": 0.0779364484692496, "time": 0.3647551870346069, "time_std": 0.12836962976524985}, {"dataset": "libras", "samples": 360, "features": 90, "classes": 15, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.08, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 44.6786984126984, "leaves": 22.83934920634921, "depth": 10.578349206349206, "score": 0.38666666666666666, "score_std": 0.07105683692702676, "time": 1.0278128814697265, "time_std": 0.2773876440189806}, {"dataset": "low-res-spect", "samples": 531, "features": 100, "classes": 9, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 14.574523809523809, "leaves": 7.7872619047619045, "depth": 5.496928571428571, "score": 0.8222235937224474, "score_std": 0.043022750843636756, "time": 0.6655945348739624, "time_std": 0.2787115841226919}, {"dataset": "lymphography", "samples": 148, "features": 18, "classes": 4, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.05, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 4.36, "leaves": 2.68, "depth": 2.5526666666666666, "score": 0.8540000000000001, "score_std": 0.06187431803793504, "time": 0.022566046714782715, "time_std": 0.00867481120306829}, {"dataset": "mammographic", "samples": 961, "features": 5, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.5369111614853196, "score_std": 0.036196136010593176, "time": 0.8137317037582398, "time_std": 2.3887522800523446}, {"dataset": "molec-biol-promoter", "samples": 106, "features": 57, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.4188311688311688, "score_std": 0.05148103566765063, "time": 0.014856891632080078, "time_std": 0.0031385996185182064}, {"dataset": "musk-1", "samples": 476, "features": 166, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.05, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 3.867860100385511, "leaves": 2.4339300501927554, "depth": 2.4163577619135506, "score": 0.9098903508771928, "score_std": 0.028596962109996762, "time": 25.162569727897644, "time_std": 162.5006921991844}, {"dataset": "oocytes_merluccius_nucleus_4d", "samples": 1022, "features": 41, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 8.25, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 3.6, "leaves": 2.3, "depth": 2.3, "score": 0.7001908177905309, "score_std": 0.023883463833768145, "time": 0.42058260440826417, "time_std": 0.030410185700497958}, {"dataset": "oocytes_merluccius_states_2f", "samples": 1022, "features": 25, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 4.468285714285714, "leaves": 2.734142857142857, "depth": 2.625252380952381, "score": 0.8748512673362028, "score_std": 0.02307162476088808, "time": 0.9533857774734497, "time_std": 1.8302575706503457}, {"dataset": "oocytes_trisopterus_nucleus_2f", "samples": 912, "features": 25, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 22.067935064935064, "leaves": 11.533967532467532, "depth": 6.2780555555555555, "score": 0.7571524650213175, "score_std": 0.03263702788524396, "time": 0.28816969871521, "time_std": 0.09512975948910248}, {"dataset": "oocytes_trisopterus_states_5b", "samples": 912, "features": 32, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.11, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 17.67, "leaves": 9.335, "depth": 5.958333333333334, "score": 0.7999897916291359, "score_std": 0.025253129716450513, "time": 0.12006589889526367, "time_std": 0.035730222542614855}, {"dataset": "parkinsons", "samples": 195, "features": 22, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 10.600476190476193, "leaves": 5.800238095238097, "depth": 4.405380952380952, "score": 0.8482051282051282, "score_std": 0.05200515829369116, "time": 0.05942393302917481, "time_std": 0.02533902901528933}, {"dataset": "pima", "samples": 768, "features": 8, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 3.08, "leaves": 2.04, "depth": 2.04, "score": 0.7421704439351496, "score_std": 0.03639423633792771, "time": 0.11059442520141602, "time_std": 0.01757921077008849}, {"dataset": "pittsburg-bridges-MATERIAL", "samples": 106, "features": 7, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.22, "leaves": 1.11, "depth": 1.11, "score": 0.7509956709956708, "score_std": 0.09105117735707269, "time": 0.040165376663208005, "time_std": 0.10386439622598999}, {"dataset": "pittsburg-bridges-REL-L", "samples": 103, "features": 7, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 3.58, "leaves": 2.29, "depth": 2.28, "score": 0.6728571428571428, "score_std": 0.0877703145597293, "time": 0.01564764976501465, "time_std": 0.0029271124061226728}, {"dataset": "pittsburg-bridges-SPAN", "samples": 92, "features": 7, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.05, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 8.880457142857143, "leaves": 4.940228571428571, "depth": 4.257066666666667, "score": 0.69046783625731, "score_std": 0.10371672703990642, "time": 0.05526954174041748, "time_std": 0.11956288598793609}, {"dataset": "pittsburg-bridges-T-OR-D", "samples": 102, "features": 7, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__splitter": "random", "base_estimator__max_features": "auto"}, "nodes": 1.5229379310344828, "leaves": 1.2614689655172413, "depth": 1.2614689655172413, "score": 0.8628095238095238, "score_std": 0.0747571882042698, "time": 0.09762072086334228, "time_std": 0.3043015528637298}, {"dataset": "planning", "samples": 182, "features": 12, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__gamma": 10.0, "base_estimator__kernel": "rbf", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.7143693693693695, "score_std": 0.0715459100205182, "time": 0.09654341220855713, "time_std": 0.21808850321081752}, {"dataset": "post-operative", "samples": 90, "features": 8, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 55, "base_estimator__degree": 5, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 2.28, "leaves": 1.64, "depth": 1.64, "score": 0.711111111111111, "score_std": 0.07535922203472521, "time": 0.043884873390197754, "time_std": 0.11539865948276046}, {"dataset": "seeds", "samples": 210, "features": 7, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 10000.0, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 9.38857142857143, "leaves": 5.194285714285715, "depth": 4.034285714285715, "score": 0.948095238095238, "score_std": 0.03648066614341867, "time": 0.055125374794006345, "time_std": 0.0754708381031555}, {"dataset": "statlog-australian-credit", "samples": 690, "features": 14, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 1.6642666666666668, "leaves": 1.3321333333333334, "depth": 1.3321333333333334, "score": 0.6782608695652174, "score_std": 0.03904983647915211, "time": 0.6609577941894531, "time_std": 1.5389841182251651}, {"dataset": "statlog-german-credit", "samples": 1000, "features": 24, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 1.9424000000000001, "leaves": 1.4712, "depth": 1.4712, "score": 0.7167, "score_std": 0.027506544675767623, "time": 0.838320894241333, "time_std": 2.2366399564894204}, {"dataset": "statlog-heart", "samples": 270, "features": 13, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 16.106460317460318, "leaves": 8.553230158730157, "depth": 4.827246031746032, "score": 0.8185185185185186, "score_std": 0.04566232594791834, "time": 0.11845669269561768, "time_std": 0.04311594829966658}, {"dataset": "statlog-image", "samples": 2310, "features": 18, "classes": 7, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 7, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 27.602666666666668, "leaves": 14.301333333333334, "depth": 9.564238095238094, "score": 0.8938528138528138, "score_std": 0.019238321233393457, "time": 0.7391563272476196, "time_std": 0.23888881185666364}, {"dataset": "statlog-vehicle", "samples": 846, "features": 18, "classes": 4, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 32.744, "leaves": 16.872, "depth": 9.662, "score": 0.6627671423599025, "score_std": 0.032509031695061454, "time": 0.23925065040588378, "time_std": 0.08975375686640369}, {"dataset": "synthetic-control", "samples": 600, "features": 60, "classes": 6, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME"}, "nodes": 9.429208683473389, "leaves": 5.2146043417366945, "depth": 4.57425, "score": 0.9099999999999998, "score_std": 0.052466920795657304, "time": 0.4939297103881836, "time_std": 0.2710426031472528}, {"dataset": "tic-tac-toe", "samples": 958, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.2, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__max_iter": 10000.0, "base_estimator__multiclass_strategy": "ovr"}, "nodes": 1.0, "leaves": 1.0, "depth": 1.0, "score": 0.6534505890052357, "score_std": 0.028021260679892277, "time": 0.5740511560440064, "time_std": 1.3272581508860233}, {"dataset": "vertebral-column-2clases", "samples": 310, "features": 6, "classes": 2, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 9.595441336441336, "leaves": 5.297720668220668, "depth": 4.124129703629704, "score": 0.836774193548387, "score_std": 0.04637089761565525, "time": 0.09960742473602295, "time_std": 0.04379395285721761}, {"dataset": "wine", "samples": 178, "features": 13, "classes": 3, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.55, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 9.49185979250464, "leaves": 5.24592989625232, "depth": 4.017694995142711, "score": 0.964031746031746, "score_std": 0.02976579445481558, "time": 0.9914412021636962, "time_std": 0.47620197116489316}, {"dataset": "zoo", "samples": 101, "features": 16, "classes": 7, "hyperparameters": {"n_estimators": 100, "algorithm": "SAMME", "base_estimator__C": 0.1, "base_estimator__max_iter": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr"}, "nodes": 12.373333333333335, "leaves": 6.686666666666667, "depth": 6.666666666666666, "score": 0.8957619047619049, "score_std": 0.07821171627293622, "time": 0.029082970619201662, "time_std": 0.00750168224764846}]}
\ No newline at end of file
diff --git a/results/results_accuracy_BaggingStree_Galgo_2022-03-21_23:12:07_0.json b/results/results_accuracy_BaggingStree_Galgo_2022-03-21_23:12:07_0.json
new file mode 100644
index 0000000..f944b6b
--- /dev/null
+++ b/results/results_accuracy_BaggingStree_Galgo_2022-03-21_23:12:07_0.json
@@ -0,0 +1 @@
+{"score_name": "accuracy", "title": "With gridsearched hyperparams v022", "model": "BaggingStree", "version": "-", "stratified": false, "folds": 5, "date": "2022-03-21", "time": "23:12:07", "duration": 14287.610135793686, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "Galgo", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"base_estimator__C": 57, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 7.21, "leaves": 4.105, "depth": 3.5212, "score": 0.9604799999999999, "score_std": 0.028595272336524435, "time": 0.30146390914916993, "time_std": 0.19356113891661192}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"base_estimator__C": 5, "base_estimator__gamma": 0.14, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 2.9968, "leaves": 1.9984, "depth": 1.9984, "score": 0.7849999999999998, "score_std": 0.2539083386666229, "time": 0.08282389163970948, "time_std": 0.014645679627855459}, {"dataset": "breast-cancer-wisc-diag", "samples": 569, "features": 30, "classes": 2, "hyperparameters": {"base_estimator__C": 0.0275, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.1444000000000005, "leaves": 2.0722, "depth": 2.0713999999999997, "score": 0.9782068001863066, "score_std": 0.01141560952455247, "time": 0.13887561798095704, "time_std": 0.01888338593528219}, {"dataset": "breast-cancer-wisc-prog", "samples": 198, "features": 33, "classes": 2, "hyperparameters": {"base_estimator__C": 57, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 4.6, "leaves": 2.8000000000000007, "depth": 2.6858000000000004, "score": 0.803025641025641, "score_std": 0.05300689670186198, "time": 0.19328359603881837, "time_std": 0.02358864939465739}, {"dataset": "breast-cancer-wisc", "samples": 699, "features": 9, "classes": 2, "hyperparameters": {"base_estimator__C": 0.95, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 7.392799999999999, "leaves": 4.1964, "depth": 3.576, "score": 0.9675210688591984, "score_std": 0.012338248108623828, "time": 0.21444859981536865, "time_std": 0.04147064814676411}, {"dataset": "breast-cancer", "samples": 286, "features": 9, "classes": 2, "hyperparameters": {"base_estimator__C": 0.2, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.4827999999999997, "leaves": 2.2414, "depth": 2.2270000000000003, "score": 0.735287356321839, "score_std": 0.04682454303216536, "time": 0.15754241466522217, "time_std": 0.024018967777951074}, {"dataset": "cardiotocography-10clases", "samples": 2126, "features": 21, "classes": 10, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 88.06479999999999, "leaves": 44.532399999999996, "depth": 10.2642, "score": 0.8287906103286384, "score_std": 0.019919444360845064, "time": 4.218378925323487, "time_std": 0.18599991900986182}, {"dataset": "cardiotocography-3clases", "samples": 2126, "features": 21, "classes": 3, "hyperparameters": {"base_estimator__C": 8.25, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 12.895199999999999, "leaves": 6.9475999999999996, "depth": 4.7174000000000005, "score": 0.9257314553990611, "score_std": 0.013558382700451035, "time": 1.077443742752075, "time_std": 0.10986634481805103}, {"dataset": "conn-bench-sonar-mines-rocks", "samples": 208, "features": 60, "classes": 2, "hyperparameters": {"base_estimator__C": 1.05, "base_estimator__gamma": "scale", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0724, "leaves": 2.0362, "depth": 2.0362, "score": 0.8373751451800231, "score_std": 0.05703226695068684, "time": 0.17485148906707765, "time_std": 0.034046012913678717}, {"dataset": "cylinder-bands", "samples": 512, "features": 35, "classes": 2, "hyperparameters": {"base_estimator__C": 5, "base_estimator__gamma": "auto", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 6.023599999999999, "leaves": 3.5117999999999996, "depth": 3.1242, "score": 0.7945117075956597, "score_std": 0.03670297475710004, "time": 0.3321599578857422, "time_std": 0.04976751266017892}, {"dataset": "dermatology", "samples": 366, "features": 34, "classes": 6, "hyperparameters": {"base_estimator__C": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 11.0, "leaves": 6.0, "depth": 6.0, "score": 0.9674527952610142, "score_std": 0.02171974818395721, "time": 0.47111594200134277, "time_std": 0.09484727652201935}, {"dataset": "echocardiogram", "samples": 131, "features": 10, "classes": 2, "hyperparameters": {"base_estimator__C": 5, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 2.9432, "leaves": 1.9716, "depth": 1.9716, "score": 0.8413105413105412, "score_std": 0.06979708113847025, "time": 0.12344412803649903, "time_std": 0.013165177753499093}, {"dataset": "fertility", "samples": 100, "features": 9, "classes": 2, "hyperparameters": {"base_estimator__C": 2, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.1664, "leaves": 2.0831999999999997, "depth": 2.0816, "score": 0.8750000000000001, "score_std": 0.05766281297335397, "time": 0.11747596740722656, "time_std": 0.019034885731353746}, {"dataset": "haberman-survival", "samples": 306, "features": 3, "classes": 2, "hyperparameters": {"base_estimator__C": 0.001, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 4.445199999999999, "leaves": 2.7225999999999995, "depth": 2.5874, "score": 0.7333580116340562, "score_std": 0.04957874588650047, "time": 0.13654687404632568, "time_std": 0.022710976503812576}, {"dataset": "heart-hungarian", "samples": 294, "features": 12, "classes": 2, "hyperparameters": {"base_estimator__C": 10000.0, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 8.538400000000001, "leaves": 4.7692, "depth": 3.7621999999999995, "score": 0.8145879602571595, "score_std": 0.04961949389664604, "time": 0.42943432807922366, "time_std": 0.08221791286873104}, {"dataset": "hepatitis", "samples": 155, "features": 19, "classes": 2, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__gamma": "auto", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0604, "leaves": 2.0302, "depth": 2.0302, "score": 0.8270967741935483, "score_std": 0.07119026696327081, "time": 0.13484521389007567, "time_std": 0.01976398154659767}, {"dataset": "ilpd-indian-liver", "samples": 583, "features": 9, "classes": 2, "hyperparameters": {"base_estimator__C": 1.75, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 15.758400000000004, "leaves": 8.379200000000003, "depth": 5.0016, "score": 0.7272841143530799, "score_std": 0.03780385805554925, "time": 1.301863341331482, "time_std": 0.22852835077385242}, {"dataset": "ionosphere", "samples": 351, "features": 33, "classes": 2, "hyperparameters": {"base_estimator__C": 2, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0604, "leaves": 2.0302000000000002, "depth": 2.0302000000000002, "score": 0.9504346076458754, "score_std": 0.025196565715931766, "time": 0.18803014278411864, "time_std": 0.028001324949058198}, {"dataset": "iris", "samples": 150, "features": 4, "classes": 3, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 5.029599999999999, "leaves": 3.0148, "depth": 3.011, "score": 0.9653333333333335, "score_std": 0.032632635334721105, "time": 0.15599781513214112, "time_std": 0.024805281056711887}, {"dataset": "led-display", "samples": 1000, "features": 7, "classes": 10, "hyperparameters": {"base_estimator__C": 0.001, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 23.527600000000003, "leaves": 12.263800000000002, "depth": 10.72, "score": 0.6625, "score_std": 0.06568295060363838, "time": 0.7262517023086548, "time_std": 0.09220177190440816}, {"dataset": "libras", "samples": 360, "features": 90, "classes": 15, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 82.6336, "leaves": 41.8168, "depth": 10.1368, "score": 0.8644444444444445, "score_std": 0.04162590598873153, "time": 2.0752676200866698, "time_std": 0.14357667319617806}, {"dataset": "low-res-spect", "samples": 531, "features": 100, "classes": 9, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 28.6604, "leaves": 14.8302, "depth": 6.910000000000001, "score": 0.910904602362899, "score_std": 0.034998937080933226, "time": 0.753495397567749, "time_std": 0.06849631937458388}, {"dataset": "lymphography", "samples": 148, "features": 18, "classes": 4, "hyperparameters": {"base_estimator__C": 0.001, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 5.962399999999999, "leaves": 3.4811999999999994, "depth": 3.2398000000000002, "score": 0.8648505747126437, "score_std": 0.057311082520576026, "time": 0.15488346576690673, "time_std": 0.027713675504795716}, {"dataset": "mammographic", "samples": 961, "features": 5, "classes": 2, "hyperparameters": {"base_estimator__C": 7, "base_estimator__gamma": 0.1, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 4.7428, "leaves": 2.8714, "depth": 2.6754000000000002, "score": 0.8320547279792746, "score_std": 0.02189122623430057, "time": 0.6159171628952026, "time_std": 0.09040102795321235}, {"dataset": "molec-biol-promoter", "samples": 106, "features": 57, "classes": 2, "hyperparameters": {"base_estimator__C": 0.0275, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0196000000000005, "leaves": 2.0098, "depth": 2.0096, "score": 0.8103030303030302, "score_std": 0.08285239302972967, "time": 0.09054997444152832, "time_std": 0.02155313457823794}, {"dataset": "musk-1", "samples": 476, "features": 166, "classes": 2, "hyperparameters": {"base_estimator__C": 7, "base_estimator__gamma": "auto", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.3548, "leaves": 2.1774, "depth": 2.1752000000000002, "score": 0.9296162280701753, "score_std": 0.03038103354612155, "time": 0.33629647731781004, "time_std": 0.03763345284640109}, {"dataset": "oocytes_merluccius_nucleus_4d", "samples": 1022, "features": 41, "classes": 2, "hyperparameters": {"base_estimator__C": 8.25, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 9.2152, "leaves": 5.1076, "depth": 3.907200000000001, "score": 0.8454954567192731, "score_std": 0.02495631167694985, "time": 2.2496592807769775, "time_std": 0.11331703117627316}, {"dataset": "oocytes_merluccius_states_2f", "samples": 1022, "features": 25, "classes": 3, "hyperparameters": {"base_estimator__C": 10000.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 21.4564, "leaves": 11.2282, "depth": 5.908800000000001, "score": 0.9315088474414156, "score_std": 0.013327457173055437, "time": 48.612503643035886, "time_std": 4.329084966085976}, {"dataset": "oocytes_trisopterus_nucleus_2f", "samples": 912, "features": 25, "classes": 2, "hyperparameters": {"base_estimator__C": 57, "base_estimator__gamma": "auto", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 9.5976, "leaves": 5.298799999999999, "depth": 4.058, "score": 0.8539470365699874, "score_std": 0.02065572995392444, "time": 0.6541629314422608, "time_std": 0.08638536436142778}, {"dataset": "oocytes_trisopterus_states_5b", "samples": 912, "features": 32, "classes": 3, "hyperparameters": {"base_estimator__C": 7, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 14.662400000000002, "leaves": 7.831200000000001, "depth": 4.9996, "score": 0.9267411277247344, "score_std": 0.017390334618426102, "time": 25.379008345603943, "time_std": 3.9737204304595886}, {"dataset": "parkinsons", "samples": 195, "features": 22, "classes": 2, "hyperparameters": {"base_estimator__C": 2.8, "base_estimator__gamma": 0.14, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.2691999999999997, "leaves": 2.1346, "depth": 2.134, "score": 0.928205128205128, "score_std": 0.037333896868105204, "time": 0.12471329689025878, "time_std": 0.020512790615025343}, {"dataset": "pima", "samples": 768, "features": 8, "classes": 2, "hyperparameters": {"base_estimator__C": 0.95, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 18.4776, "leaves": 9.7388, "depth": 5.4639999999999995, "score": 0.7702953908836261, "score_std": 0.029447572667211548, "time": 1.371726393699646, "time_std": 0.1800906139239789}, {"dataset": "pittsburg-bridges-MATERIAL", "samples": 106, "features": 7, "classes": 3, "hyperparameters": {"base_estimator__C": 2.8, "base_estimator__gamma": 0.14, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 5.196000000000001, "leaves": 3.0980000000000003, "depth": 2.9556000000000004, "score": 0.8705627705627704, "score_std": 0.06989163747357113, "time": 0.17773971557617188, "time_std": 0.028312439563030967}, {"dataset": "pittsburg-bridges-REL-L", "samples": 103, "features": 7, "classes": 3, "hyperparameters": {"base_estimator__C": 0.2, "base_estimator__gamma": "scale", "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 5.21, "leaves": 3.105, "depth": 3.0614, "score": 0.6603809523809524, "score_std": 0.09831431846592592, "time": 0.17158868789672851, "time_std": 0.022630043119593067}, {"dataset": "pittsburg-bridges-SPAN", "samples": 92, "features": 7, "classes": 3, "hyperparameters": {"base_estimator__C": 0.05, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 8.3452, "leaves": 4.6726, "depth": 4.07, "score": 0.689122807017544, "score_std": 0.09933336844996601, "time": 0.18929981231689452, "time_std": 0.032226671928980606}, {"dataset": "pittsburg-bridges-T-OR-D", "samples": 102, "features": 7, "classes": 2, "hyperparameters": {"base_estimator__C": 0.08, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.4419999999999997, "leaves": 2.221, "depth": 2.1841999999999997, "score": 0.8684285714285714, "score_std": 0.07194071948612556, "time": 0.10457808494567872, "time_std": 0.018392822665096356}, {"dataset": "planning", "samples": 182, "features": 12, "classes": 2, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__gamma": 10.0, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0, "leaves": 2.0, "depth": 2.0, "score": 0.7352702702702704, "score_std": 0.06697755238925641, "time": 0.11213760375976563, "time_std": 0.015657310068062612}, {"dataset": "post-operative", "samples": 90, "features": 8, "classes": 3, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.5976, "leaves": 2.2988, "depth": 2.13, "score": 0.7066666666666666, "score_std": 0.07701210422739313, "time": 0.13677127838134764, "time_std": 0.027169166796447947}, {"dataset": "seeds", "samples": 210, "features": 7, "classes": 3, "hyperparameters": {"base_estimator__C": 7, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 8.3988, "leaves": 4.6994, "depth": 3.8838000000000004, "score": 0.9557142857142858, "score_std": 0.034995950526996424, "time": 0.2530019760131836, "time_std": 0.04883965502951002}, {"dataset": "statlog-australian-credit", "samples": 690, "features": 14, "classes": 2, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 1.2695999999999998, "leaves": 1.1348, "depth": 1.1244, "score": 0.6782608695652174, "score_std": 0.03904983647915211, "time": 0.3046628475189209, "time_std": 0.09585582669168853}, {"dataset": "statlog-german-credit", "samples": 1000, "features": 24, "classes": 2, "hyperparameters": {"base_estimator__C": 7, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.3392, "leaves": 2.1696, "depth": 2.1662, "score": 0.7606, "score_std": 0.032613494139696234, "time": 0.6483605861663818, "time_std": 0.08835454971734058}, {"dataset": "statlog-heart", "samples": 270, "features": 13, "classes": 2, "hyperparameters": {"base_estimator__C": 2, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0, "leaves": 2.0, "depth": 2.0, "score": 0.8470370370370373, "score_std": 0.03916305473232492, "time": 0.17763192176818848, "time_std": 0.02159112183234714}, {"dataset": "statlog-image", "samples": 2310, "features": 18, "classes": 7, "hyperparameters": {"base_estimator__C": 7.0, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 31.8108, "leaves": 16.4054, "depth": 10.3992, "score": 0.9607359307359308, "score_std": 0.007346691503785782, "time": 136.17002703666688, "time_std": 19.051138023772644}, {"dataset": "statlog-vehicle", "samples": 846, "features": 18, "classes": 4, "hyperparameters": {"base_estimator__C": 7, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 19.9864, "leaves": 10.493200000000002, "depth": 6.148000000000001, "score": 0.8063974939088062, "score_std": 0.026134080231300823, "time": 29.128429617881775, "time_std": 1.6501378865718346}, {"dataset": "synthetic-control", "samples": 600, "features": 60, "classes": 6, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__kernel": "linear", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 14.9932, "leaves": 7.9966, "depth": 5.566599999999999, "score": 0.9868333333333333, "score_std": 0.009441339358845712, "time": 0.5074857091903686, "time_std": 0.04592557819720753}, {"dataset": "tic-tac-toe", "samples": 958, "features": 9, "classes": 2, "hyperparameters": {"base_estimator__C": 10000.0, "base_estimator__gamma": 0.001, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 3.0756, "leaves": 2.0378, "depth": 2.0378, "score": 0.9958246073298429, "score_std": 0.006261481452218142, "time": 0.394061336517334, "time_std": 0.08345778305920482}, {"dataset": "vertebral-column-2clases", "samples": 310, "features": 6, "classes": 2, "hyperparameters": {"base_estimator__C": 0.95, "base_estimator__kernel": "liblinear", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 7.835200000000001, "leaves": 4.4176, "depth": 3.620799999999999, "score": 0.8577419354838708, "score_std": 0.03880230852310419, "time": 0.23865018367767335, "time_std": 0.04508118386140077}, {"dataset": "wine", "samples": 178, "features": 13, "classes": 3, "hyperparameters": {"base_estimator__C": 1.0, "base_estimator__gamma": "auto", "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr", "n_estimators": 100, "n_jobs": -1}, "nodes": 5.9188, "leaves": 3.4594, "depth": 2.6396, "score": 0.9491746031746032, "score_std": 0.15053519705715349, "time": 0.16258461475372316, "time_std": 0.025082335020581957}, {"dataset": "zoo", "samples": 101, "features": 16, "classes": 7, "hyperparameters": {"base_estimator__C": 8.25, "base_estimator__gamma": 0.1, "base_estimator__kernel": "poly", "base_estimator__multiclass_strategy": "ovo", "n_estimators": 100, "n_jobs": -1}, "nodes": 13.4916, "leaves": 7.2458, "depth": 6.860200000000001, "score": 0.9503809523809525, "score_std": 0.05823628467379859, "time": 0.29438960552215576, "time_std": 0.0417691478676037}]}
\ No newline at end of file