9996039
7518
Thomas Boquet
145804
Supervised Classification
8887
sklearn.ensemble.forest.RandomForestClassifier(47)
7920903
bootstrap
true
8887
class_weight
null
8887
criterion
"gini"
8887
max_depth
15
8887
max_features
7
8887
max_leaf_nodes
null
8887
min_impurity_decrease
0.0
8887
min_impurity_split
null
8887
min_samples_leaf
2
8887
min_samples_split
8
8887
min_weight_fraction_leaf
0.0
8887
n_estimators
500
8887
n_jobs
4
8887
oob_score
false
8887
random_state
0
8887
verbose
0
8887
warm_start
false
8887
openml-python
Sklearn_0.20.2.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
20912600
description
https://api.openml.org/data/download/20912600/description.xml
-1
20912601
predictions
https://api.openml.org/data/download/20912601/predictions.arff
area_under_roc_curve
0.9991916547981061 [0.999192,0.999192]
average_cost
0
f_measure
0.943400370083191 [0.913257,0.959387]
kappa
0.87309101634165
kb_relative_information_score
644.9308270968452
mean_absolute_error
0.17267003602974954
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9489947454349236 [1,0.921944]
predictive_accuracy
0.9446764091858038
prior_entropy
0.9312461581068427
recall
0.9446764091858038 [0.840361,1]
relative_absolute_error
0.3811636897135514
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.22826259240481728
root_relative_squared_error
0.47967153598578127
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9985569985569985 [0.998557,0.998557]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
0.9990379990379991 [0.999038,0.999038]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9960899315738025 [0.99609,0.99609]
area_under_roc_curve
0.9975562072336267 [0.997556,0.997556]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9576302729528535 [0.935484,0.969231]
f_measure
0.97900390625 [0.96875,0.984375]
f_measure
0.9683693244739757 [0.952381,0.976744]
f_measure
0.9246766280107047 [0.881356,0.947368]
f_measure
0.9246766280107047 [0.881356,0.947368]
f_measure
0.9683693244739757 [0.952381,0.976744]
f_measure
0.9136363636363636 [0.866667,0.939394]
f_measure
0.9359181141439206 [0.903226,0.953846]
f_measure
0.9009893153937475 [0.842105,0.932331]
f_measure
0.9571943972835314 [0.935484,0.96875]
kappa
0.9049034175334325
kappa
0.953147877013177
kappa
0.9292035398230089
kappa
0.8297872340425533
kappa
0.8297872340425533
kappa
0.9292035398230089
kappa
0.8076152304609218
kappa
0.857707509881423
kappa
0.7768206734534066
kappa
0.9044265593561368
kb_relative_information_score
66.17684542806906
kb_relative_information_score
67.44643440967953
kb_relative_information_score
66.67060840866836
kb_relative_information_score
60.16499940902713
kb_relative_information_score
64.29593815671146
kb_relative_information_score
63.64756872514054
kb_relative_information_score
65.15500997692033
kb_relative_information_score
70.27664725965303
kb_relative_information_score
58.63449464229879
kb_relative_information_score
62.46228068067883
mean_absolute_error
0.16528954768679033
mean_absolute_error
0.16099525548339402
mean_absolute_error
0.16644660437655312
mean_absolute_error
0.19122167969665071
mean_absolute_error
0.17136708106090606
mean_absolute_error
0.17992149598436122
mean_absolute_error
0.17145246181684604
mean_absolute_error
0.1466520094794912
mean_absolute_error
0.19360786339563432
mean_absolute_error
0.18004124713426803
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.45325657894736904
mean_prior_absolute_error
0.45325657894736904
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [34,62]
number_of_instances
96 [34,62]
number_of_instances
95 [33,62]
number_of_instances
95 [33,62]
precision
0.9608208955223881 [1,0.940299]
precision
0.9798076923076923 [1,0.969231]
precision
0.9701704545454546 [1,0.954545]
precision
0.9343750000000001 [1,0.9]
precision
0.9343750000000001 [1,0.9]
precision
0.9701704545454546 [1,0.954545]
precision
0.9261904761904761 [1,0.885714]
precision
0.9430147058823529 [1,0.911765]
precision
0.9172720533728688 [1,0.873239]
precision
0.9604465709728869 [1,0.939394]
predictive_accuracy
0.9583333333333333
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.96875
predictive_accuracy
0.9270833333333333
predictive_accuracy
0.9270833333333333
predictive_accuracy
0.96875
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9375
predictive_accuracy
0.9052631578947369
predictive_accuracy
0.9578947368421052
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
recall
0.9583333333333334 [0.878788,1]
recall
0.9791666666666666 [0.939394,1]
recall
0.96875 [0.909091,1]
recall
0.9270833333333334 [0.787879,1]
recall
0.9270833333333334 [0.787879,1]
recall
0.96875 [0.909091,1]
recall
0.9166666666666666 [0.764706,1]
recall
0.9375 [0.823529,1]
recall
0.9052631578947369 [0.727273,1]
recall
0.9578947368421052 [0.878788,1]
relative_absolute_error
0.36556478797251196
relative_absolute_error
0.35606726050754917
relative_absolute_error
0.3681238075196331
relative_absolute_error
0.42291792658611244
relative_absolute_error
0.37900624407422795
relative_absolute_error
0.39792572761983935
relative_absolute_error
0.3765384348737134
relative_absolute_error
0.32207247149056073
relative_absolute_error
0.42714849025526347
relative_absolute_error
0.39721706313097754
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4761342715793188
root_mean_prior_squared_error
0.4761342715793188
root_mean_squared_error
0.21811243392935067
root_mean_squared_error
0.20669820229305977
root_mean_squared_error
0.20507692687096135
root_mean_squared_error
0.25277571397523446
root_mean_squared_error
0.23220802150109923
root_mean_squared_error
0.2243007854169817
root_mean_squared_error
0.23344645038539177
root_mean_squared_error
0.20515194122092606
root_mean_squared_error
0.26210668165139106
root_mean_squared_error
0.23554403715337124
root_relative_squared_error
0.45921388631903504
root_relative_squared_error
0.43518236471057575
root_relative_squared_error
0.4317689316753161
root_relative_squared_error
0.5321939510300241
root_relative_squared_error
0.48889073431968405
root_relative_squared_error
0.47224284063102856
root_relative_squared_error
0.48805945990775235
root_relative_squared_error
0.4289049821319437
root_relative_squared_error
0.5504890055109736
root_relative_squared_error
0.49470086740885266
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0