diff --git a/galgo/job.sh b/galgo/job.sh
index 697aa13..50507ae 100644
--- a/galgo/job.sh
+++ b/galgo/job.sh
@@ -1,6 +1,6 @@
 #!/bin/bash
 ### Nombre de trabajo
-#PBS -N Bagging_RF
+#PBS -N Bagging_Wodt
 ### Seleccion de cola de trabajos
 #PBS -q workq
 ### mezcla errores con la salida principal
@@ -16,4 +16,4 @@
 #PBS -M ricardo.montanana@alu.uclm.es
 ### Ejecutable con sus parametros
 cd /home/Ricardo.Montanana/benchmark
-python src/main.py -s accuracy -q 1 -m BaggingStree --title "RandomForest like with STree" -p '{"n_estimators": 20, "base_estimator__max_features":"sqrt"}'
+python src/main.py -s accuracy -q 1 -m BaggingWodt --title "Bagging with Wodt max_features=0.75" -p '{"n_estimators": 100, "max_features":0.75}'
diff --git a/results/results_accuracy_BaggingStree_Galgo_2022-01-17_11:00:47_0.json b/results/results_accuracy_BaggingStree_Galgo_2022-01-17_11:00:47_0.json
new file mode 100644
index 0000000..3281173
--- /dev/null
+++ b/results/results_accuracy_BaggingStree_Galgo_2022-01-17_11:00:47_0.json
@@ -0,0 +1 @@
+{"score_name": "accuracy", "title": "RandomForest like with STree", "model": "BaggingStree", "version": "-", "stratified": false, "folds": 5, "date": "2022-01-17", "time": "11:00:47", "duration": 8864.419671058655, "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, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 15.443199999999997, "leaves": 8.221599999999999, "depth": 5.438400000000001, "score": 0.9046400000000001, "score_std": 0.024778829673735604, "time": 2.756282939910889, "time_std": 0.12752731629243533}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 3.9708000000000006, "leaves": 2.4854000000000003, "depth": 2.3944, "score": 0.595, "score_std": 0.2743730226453679, "time": 0.4533770322799683, "time_std": 0.024513705019691762}, {"dataset": "breast-cancer-wisc-diag", "samples": 569, "features": 30, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 6.644399999999999, "leaves": 3.8221999999999996, "depth": 3.2560000000000002, "score": 0.96045955596957, "score_std": 0.015026226085781283, "time": 1.1524844789505004, "time_std": 0.029489591127047955}, {"dataset": "breast-cancer-wisc-prog", "samples": 198, "features": 33, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 1.8703999999999998, "leaves": 1.4352, "depth": 1.3996000000000002, "score": 0.7626923076923078, "score_std": 0.0691680627695892, "time": 0.442087926864624, "time_std": 0.04870054631843524}, {"dataset": "breast-cancer-wisc", "samples": 699, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 6.7964, "leaves": 3.8982, "depth": 3.5736000000000003, "score": 0.9673792394655705, "score_std": 0.013664361793246649, "time": 1.0922929954528808, "time_std": 0.03550335571213713}, {"dataset": "breast-cancer", "samples": 286, "features": 9, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 4.9976, "leaves": 2.9988000000000006, "depth": 2.5604, "score": 0.7045493042952208, "score_std": 0.04805747461134108, "time": 0.7707040739059449, "time_std": 0.09262252363676976}, {"dataset": "cardiotocography-10clases", "samples": 2126, "features": 21, "classes": 10, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 94.38360000000003, "leaves": 47.691800000000015, "depth": 11.982000000000001, "score": 0.796851698425849, "score_std": 0.019591814056515656, "time": 36.32043726444245, "time_std": 0.629206701008612}, {"dataset": "cardiotocography-3clases", "samples": 2126, "features": 21, "classes": 3, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 28.1504, "leaves": 14.5752, "depth": 7.151200000000001, "score": 0.8778019331676332, "score_std": 0.018853915420627757, "time": 11.129980392456055, "time_std": 0.3082132642624183}, {"dataset": "conn-bench-sonar-mines-rocks", "samples": 208, "features": 60, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 14.790799999999999, "leaves": 7.8953999999999995, "depth": 4.9408, "score": 0.797979094076655, "score_std": 0.04931823503487069, "time": 1.5556815576553344, "time_std": 0.059630431762591536}, {"dataset": "cylinder-bands", "samples": 512, "features": 35, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 8.6628, "leaves": 4.8314, "depth": 3.741600000000001, "score": 0.6632724157624216, "score_std": 0.03471102985847012, "time": 1.7887030839920044, "time_std": 0.14101959043115098}, {"dataset": "dermatology", "samples": 366, "features": 34, "classes": 6, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 25.916000000000004, "leaves": 13.458000000000002, "depth": 7.9128, "score": 0.9778526471677157, "score_std": 0.01592897125402284, "time": 3.103610329627991, "time_std": 0.09072674460391195}, {"dataset": "echocardiogram", "samples": 131, "features": 10, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 5.0256, "leaves": 3.0128, "depth": 2.6546, "score": 0.8213390313390312, "score_std": 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{"dataset": "ionosphere", "samples": 351, "features": 33, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 9.310799999999999, "leaves": 5.155399999999999, "depth": 4.417800000000001, "score": 0.9179678068410462, "score_std": 0.03514399437277193, "time": 1.4888969039916993, "time_std": 0.05147508165629774}, {"dataset": "iris", "samples": 150, "features": 4, "classes": 3, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 5.463600000000001, "leaves": 3.2318000000000002, "depth": 3.1796, "score": 0.954, "score_std": 0.028197714643408794, "time": 0.706412000656128, "time_std": 0.021741037364731246}, {"dataset": "led-display", "samples": 1000, "features": 7, "classes": 10, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 22.266, "leaves": 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"hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 4.7328, "leaves": 2.8664, "depth": 2.5414000000000003, "score": 0.5592183908045977, "score_std": 0.09722432393024913, "time": 0.7056906509399414, "time_std": 0.06495029109194521}, {"dataset": "mammographic", "samples": 961, "features": 5, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 5.6815999999999995, "leaves": 3.3407999999999998, "depth": 3.0032, "score": 0.8272695379965458, "score_std": 0.02450569044585343, "time": 1.8783155965805054, "time_std": 0.0757711034860904}, {"dataset": "molec-biol-promoter", "samples": 106, "features": 57, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 13.7228, "leaves": 7.3614, "depth": 4.6824, "score": 0.817056277056277, "score_std": 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"features": 24, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 1.9816, "leaves": 1.4908, "depth": 1.3932, "score": 0.7000000000000002, "score_std": 0.028017851452243787, "time": 1.3630123853683471, "time_std": 0.10426729922265068}, {"dataset": "statlog-heart", "samples": 270, "features": 13, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 9.8212, "leaves": 5.4106, "depth": 4.1972000000000005, "score": 0.8392592592592593, "score_std": 0.04262317742463941, "time": 1.26066819190979, "time_std": 0.05335968663414809}, {"dataset": "statlog-image", "samples": 2310, "features": 18, "classes": 7, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 37.81159999999999, "leaves": 19.405799999999996, "depth": 8.62, "score": 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{"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 4.020399999999999, "leaves": 2.5101999999999998, "depth": 2.0993999999999997, "score": 0.6534505890052357, "score_std": 0.028021260679892277, "time": 1.6065421104431152, "time_std": 0.09350478927506826}, {"dataset": "vertebral-column-2clases", "samples": 310, "features": 6, "classes": 2, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 4.1324000000000005, "leaves": 2.5662000000000003, "depth": 2.3772, "score": 0.7509677419354839, "score_std": 0.08013775860228514, "time": 0.7552499914169312, "time_std": 0.05871914470242779}, {"dataset": "wine", "samples": 178, "features": 13, "classes": 3, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 11.706, "leaves": 6.353, "depth": 4.5966000000000005, "score": 0.978063492063492, "score_std": 0.025306267118142396, "time": 1.2186243963241576, "time_std": 0.04030947256127353}, {"dataset": "zoo", "samples": 101, "features": 16, "classes": 7, "hyperparameters": {"n_estimators": 100, "base_estimator__splitter": "trandom", "base_estimator__max_features": "sqrt"}, "nodes": 15.975999999999999, "leaves": 8.488, "depth": 6.388, "score": 0.9554285714285714, "score_std": 0.0447544066668275, "time": 1.6990563249588013, "time_std": 0.06383056654036134}]}
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