mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-16 07:55:54 +00:00
1 line
22 KiB
JSON
1 line
22 KiB
JSON
{"score_name": "accuracy", "title": "ODTE pseudo Random Forest liblinear-trandom max_features-sqrt", "model": "ODTE", "version": "0.3.1", "stratified": false, "folds": 5, "date": "2022-02-09", "time": "12:37:47", "duration": 11237.594873666763, "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_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.513199999999999, "leaves": 4.2566, "depth": 3.6824, "score": 0.8408000000000001, "score_std": 0.04151529838505319, "time": 0.9392083406448364, "time_std": 0.19510313598951862}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 2.9896, "leaves": 1.9948, "depth": 1.9788, "score": 0.6016666666666667, "score_std": 0.30699710458279933, "time": 0.11175124645233155, "time_std": 0.01370190104448839}, {"dataset": "breast-cancer-wisc-diag", "samples": 569, "features": 30, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.87, "leaves": 4.435, "depth": 3.5408, "score": 0.96063344201211, "score_std": 0.015845322119592924, "time": 0.46251515865325926, "time_std": 0.12071156192458134}, {"dataset": "breast-cancer-wisc-prog", "samples": 198, "features": 33, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.9692, "leaves": 4.4845999999999995, "depth": 3.4440000000000004, "score": 0.7652179487179487, "score_std": 0.06960296555419315, "time": 0.3751800060272217, "time_std": 0.07995665213161435}, {"dataset": "breast-cancer-wisc", "samples": 699, "features": 9, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.9736, "leaves": 3.9868, "depth": 3.5634, "score": 0.9700996916752312, "score_std": 0.012684653234641727, "time": 0.3104927444458008, "time_std": 0.047983748207272}, {"dataset": "breast-cancer", "samples": 286, "features": 9, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.9284, "leaves": 4.4642, "depth": 3.4444, "score": 0.7167816091954023, "score_std": 0.05065043668612502, "time": 0.3687726449966431, "time_std": 0.04392342306468751}, {"dataset": "cardiotocography-10clases", "samples": 2126, "features": 21, "classes": 10, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 73.916, "leaves": 37.458, "depth": 14.764000000000001, "score": 0.43692217619442153, "score_std": 0.042944872777240246, "time": 82.55192393302917, "time_std": 17.570520588301672}, {"dataset": "cardiotocography-3clases", "samples": 2126, "features": 21, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 19.872000000000003, "leaves": 10.436, "depth": 6.0372, "score": 0.8078583816625242, "score_std": 0.021206041670178394, "time": 19.024837946891786, "time_std": 3.776660045082295}, {"dataset": "conn-bench-sonar-mines-rocks", "samples": 208, "features": 60, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 16.972, "leaves": 8.986, "depth": 5.1074, "score": 0.7754355400696863, "score_std": 0.06112378986294718, "time": 0.5470224905014038, "time_std": 0.05356557795994459}, {"dataset": "cylinder-bands", "samples": 512, "features": 35, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 16.9184, "leaves": 8.9592, "depth": 5.053999999999999, "score": 0.6642490005711024, "score_std": 0.037384223646336215, "time": 1.6691164350509644, "time_std": 0.3012349612270928}, {"dataset": "dermatology", "samples": 366, "features": 34, "classes": 6, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 15.629599999999998, "leaves": 8.314799999999998, "depth": 6.6524, "score": 0.9207071455016661, "score_std": 0.05457189846554666, "time": 1.2716408824920655, "time_std": 0.10866752430411027}, {"dataset": "echocardiogram", "samples": 131, "features": 10, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.518399999999999, "leaves": 4.2592, "depth": 3.3245999999999993, "score": 0.7877207977207976, "score_std": 0.08879500941384268, "time": 0.21751706123352052, "time_std": 0.03050552822160457}, {"dataset": "fertility", "samples": 100, "features": 9, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 2.4484, "leaves": 1.7242, "depth": 1.6316000000000002, "score": 0.88, "score_std": 0.0547722557505166, "time": 0.12418519973754882, "time_std": 0.02321812019770367}, {"dataset": "haberman-survival", "samples": 306, "features": 3, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 3.4828, "leaves": 2.2414, "depth": 1.96, "score": 0.7353199365415125, "score_std": 0.048398466240040176, "time": 0.21384589672088622, "time_std": 0.041163595613750714}, {"dataset": "heart-hungarian", "samples": 294, "features": 12, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.648000000000001, "leaves": 4.324, "depth": 3.4981999999999998, "score": 0.8156165984804208, "score_std": 0.04661070850480463, "time": 0.3847194242477417, "time_std": 0.04049482716910876}, {"dataset": "hepatitis", "samples": 155, "features": 19, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.062, "leaves": 4.031, "depth": 3.2438000000000007, "score": 0.8, "score_std": 0.08032193289024989, "time": 0.2445160722732544, "time_std": 0.03866637317040623}, {"dataset": "ilpd-indian-liver", "samples": 583, "features": 9, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.010400000000001, "leaves": 4.0052, "depth": 3.045999999999999, "score": 0.7133922782198644, "score_std": 0.03810855112813071, "time": 0.5642432308197022, "time_std": 0.11644583377060604}, {"dataset": "ionosphere", "samples": 351, "features": 33, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 9.7768, "leaves": 5.388400000000001, "depth": 3.9989999999999997, "score": 0.8382012072434607, "score_std": 0.05874971755419006, "time": 0.5777166366577149, "time_std": 0.04192913761744124}, {"dataset": "iris", "samples": 150, "features": 4, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 5.872000000000001, "leaves": 3.4360000000000004, "depth": 3.287, "score": 0.9566666666666666, "score_std": 0.03282952600598701, "time": 0.17308525562286378, "time_std": 0.023656503461438144}, {"dataset": "led-display", "samples": 1000, "features": 7, "classes": 10, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 2.658, "leaves": 1.829, "depth": 1.829, "score": 0.13299999999999998, "score_std": 0.050059964043135306, "time": 3.047775344848633, "time_std": 0.17739873779288795}, {"dataset": "libras", "samples": 360, "features": 90, "classes": 15, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 98.59480000000002, "leaves": 49.79740000000001, "depth": 27.1628, "score": 0.7791666666666666, "score_std": 0.049320224734901955, "time": 10.360685925483704, "time_std": 1.1509113086943552}, {"dataset": "low-res-spect", "samples": 531, "features": 100, "classes": 9, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 34.9684, "leaves": 17.9842, "depth": 11.503400000000001, "score": 0.8971521777464292, "score_std": 0.03218479121217973, "time": 4.400480246543884, "time_std": 0.690201833393287}, {"dataset": "lymphography", "samples": 148, "features": 18, "classes": 4, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 4.082800000000001, "leaves": 2.5414000000000003, "depth": 2.3388, "score": 0.5946666666666667, "score_std": 0.09685441332961668, "time": 0.2850806283950806, "time_std": 0.0554609258487434}, {"dataset": "mammographic", "samples": 961, "features": 5, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.658, "leaves": 3.8289999999999997, "depth": 3.2770000000000006, "score": 0.8218534110535406, "score_std": 0.020871110500345177, "time": 0.8495829153060913, "time_std": 0.11421934986130491}, {"dataset": "molec-biol-promoter", "samples": 106, "features": 57, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 13.892799999999998, "leaves": 7.446399999999999, "depth": 4.588, "score": 0.7384848484848483, "score_std": 0.13462555488923653, "time": 0.27236692428588866, "time_std": 0.03221769463495368}, {"dataset": "musk-1", "samples": 476, "features": 166, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 25.674400000000002, "leaves": 13.337200000000001, "depth": 6.131600000000001, "score": 0.7949736842105263, "score_std": 0.03967154577680745, "time": 2.2757993650436403, "time_std": 0.3059165691376079}, {"dataset": "oocytes_merluccius_nucleus_4d", "samples": 1022, "features": 41, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 22.6824, "leaves": 11.8412, "depth": 6.0784, "score": 0.731701099952176, "score_std": 0.04445561830766397, "time": 5.720122866630554, "time_std": 1.327848825140445}, {"dataset": "oocytes_merluccius_states_2f", "samples": 1022, "features": 25, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 16.7616, "leaves": 8.8808, "depth": 5.5329999999999995, "score": 0.9099756097560975, "score_std": 0.0187216799126043, "time": 2.271628007888794, "time_std": 0.3952769907317845}, {"dataset": "oocytes_trisopterus_nucleus_2f", "samples": 912, "features": 25, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 34.93, "leaves": 17.965, "depth": 7.155600000000001, "score": 0.7081042454812946, "score_std": 0.049316393365746426, "time": 4.550807757377624, "time_std": 0.9486055497547915}, {"dataset": "oocytes_trisopterus_states_5b", "samples": 912, "features": 32, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 13.736, "leaves": 7.367999999999999, "depth": 4.962199999999999, "score": 0.8433099141295861, "score_std": 0.02145897900103437, "time": 3.3403300189971925, "time_std": 0.5901082184486726}, {"dataset": "parkinsons", "samples": 195, "features": 22, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.7644, "leaves": 4.3822, "depth": 3.5402, "score": 0.8641025641025639, "score_std": 0.04622501635210243, "time": 0.22968379020690918, "time_std": 0.029275688403084855}, {"dataset": "pima", "samples": 768, "features": 8, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 15.074800000000003, "leaves": 8.037400000000002, "depth": 4.8376, "score": 0.6869679993209405, "score_std": 0.0399946704908398, "time": 1.1861581325531005, "time_std": 0.12418249648192706}, {"dataset": "pittsburg-bridges-MATERIAL", "samples": 106, "features": 7, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 4.8696, "leaves": 2.9348, "depth": 2.7798000000000003, "score": 0.8177922077922076, "score_std": 0.09258169622860278, "time": 0.18999791622161866, "time_std": 0.01966012368601925}, {"dataset": "pittsburg-bridges-REL-L", "samples": 103, "features": 7, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.981599999999999, "leaves": 3.9907999999999997, "depth": 3.4786, "score": 0.681952380952381, "score_std": 0.09514291672623139, "time": 0.2517618989944458, "time_std": 0.03220600685318935}, {"dataset": "pittsburg-bridges-SPAN", "samples": 92, "features": 7, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.0904, "leaves": 4.0451999999999995, "depth": 3.5836, "score": 0.5761988304093567, "score_std": 0.11967091488078442, "time": 0.23874239921569823, "time_std": 0.03243389571148427}, {"dataset": "pittsburg-bridges-T-OR-D", "samples": 102, "features": 7, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 2.0143999999999997, "leaves": 1.5071999999999997, "depth": 1.4828000000000001, "score": 0.8628095238095238, "score_std": 0.0747571882042698, "time": 0.11767126560211182, "time_std": 0.019535272584346217}, {"dataset": "planning", "samples": 182, "features": 12, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 6.033199999999999, "leaves": 3.5166000000000004, "depth": 2.7856, "score": 0.7143693693693695, "score_std": 0.0715459100205182, "time": 0.24088531494140625, "time_std": 0.0621527966813359}, {"dataset": "post-operative", "samples": 90, "features": 8, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 1.9847999999999997, "leaves": 1.4924000000000002, "depth": 1.4786000000000001, "score": 0.711111111111111, "score_std": 0.07535922203472521, "time": 0.13278107166290284, "time_std": 0.024145473650767604}, {"dataset": "seeds", "samples": 210, "features": 7, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 7.8636, "leaves": 4.4318, "depth": 3.873599999999999, "score": 0.9071428571428569, "score_std": 0.03962694518355533, "time": 0.2613916683197022, "time_std": 0.030658644855475852}, {"dataset": "statlog-australian-credit", "samples": 690, "features": 14, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 4.17, "leaves": 2.585, "depth": 2.1708, "score": 0.6782608695652174, "score_std": 0.03904983647915211, "time": 1.2985511207580567, "time_std": 0.35434746390671956}, {"dataset": "statlog-german-credit", "samples": 1000, "features": 24, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 8.5996, "leaves": 4.7998, "depth": 3.5389999999999997, "score": 0.7008000000000001, "score_std": 0.028272955275315655, "time": 1.82072904586792, "time_std": 0.17967314546914376}, {"dataset": "statlog-heart", "samples": 270, "features": 13, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 9.408, "leaves": 5.204, "depth": 3.8901999999999997, "score": 0.8351851851851854, "score_std": 0.05188491009674777, "time": 0.3622558498382568, "time_std": 0.030416089044239904}, {"dataset": "statlog-image", "samples": 2310, "features": 18, "classes": 7, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 44.9244, "leaves": 22.9622, "depth": 12.3356, "score": 0.8805627705627705, "score_std": 0.032765415597650296, "time": 49.22219425678253, "time_std": 10.420582311512556}, {"dataset": "statlog-vehicle", "samples": 846, "features": 18, "classes": 4, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 58.696400000000004, "leaves": 29.848200000000002, "depth": 11.823199999999996, "score": 0.6975301079011486, "score_std": 0.03855293430269248, "time": 8.66691430091858, "time_std": 1.8943633124656718}, {"dataset": "synthetic-control", "samples": 600, "features": 60, "classes": 6, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 42.42799999999999, "leaves": 21.713999999999995, "depth": 10.139400000000002, "score": 0.9723333333333334, "score_std": 0.013788078586630956, "time": 3.5264711952209473, "time_std": 0.328348483344442}, {"dataset": "tic-tac-toe", "samples": 958, "features": 9, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 4.4803999999999995, "leaves": 2.7401999999999997, "depth": 2.4934, "score": 0.659087587260035, "score_std": 0.03146907986265587, "time": 0.5650328731536866, "time_std": 0.05818676645305237}, {"dataset": "vertebral-column-2clases", "samples": 310, "features": 6, "classes": 2, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 10.849599999999999, "leaves": 5.924799999999999, "depth": 4.1632, "score": 0.75, "score_std": 0.05950279595386038, "time": 0.3587470436096191, "time_std": 0.05730260179038068}, {"dataset": "wine", "samples": 178, "features": 13, "classes": 3, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 11.3988, "leaves": 6.1994, "depth": 4.6588, "score": 0.9673809523809525, "score_std": 0.028361774885016813, "time": 0.3550172472000122, "time_std": 0.04455885440260069}, {"dataset": "zoo", "samples": 101, "features": 16, "classes": 7, "hyperparameters": {"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}, "nodes": 9.3704, "leaves": 5.1852, "depth": 5.030399999999999, "score": 0.8771428571428572, "score_std": 0.06900819892791273, "time": 0.3865741968154907, "time_std": 0.037182400269097395}]} |