9996051
7518
Thomas Boquet
145804
Supervised Classification
8887
sklearn.ensemble.forest.RandomForestClassifier(47)
7920907
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
3
8887
min_samples_split
2
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
20912624
description
https://api.openml.org/data/download/20912624/description.xml
-1
20912625
predictions
https://api.openml.org/data/download/20912625/predictions.arff
area_under_roc_curve
0.9987971053543246 [0.998797,0.998797]
average_cost
0
f_measure
0.9423029456959843 [0.911475,0.958652]
kappa
0.8706014187519385
kb_relative_information_score
645.0661715823555
mean_absolute_error
0.1723832205505015
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9481088051086822 [1,0.920588]
predictive_accuracy
0.9436325678496869
prior_entropy
0.9312461581068427
recall
0.9436325678496869 [0.837349,1]
relative_absolute_error
0.3805305535374618
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.2285538160768845
root_relative_squared_error
0.4802835140791876
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
0.9980759980759982 [0.998076,0.998076]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
0.9985569985569985 [0.998557,0.998557]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9951124144672532 [0.995112,0.995112]
area_under_roc_curve
0.9965786901270773 [0.996579,0.996579]
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
0.8773489278752438 [0.8,0.918519]
f_measure
0.9680421526256586 [0.952381,0.976378]
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
0.7230320699708453
kappa
0.9288389513108615
kb_relative_information_score
66.07261707638985
kb_relative_information_score
67.18246964382712
kb_relative_information_score
67.26087150072296
kb_relative_information_score
60.864837890385935
kb_relative_information_score
64.20864952337571
kb_relative_information_score
63.4514502434341
kb_relative_information_score
65.10196669525925
kb_relative_information_score
70.31951754857721
kb_relative_information_score
57.94511719304389
kb_relative_information_score
62.658674267339514
mean_absolute_error
0.1660403524205913
mean_absolute_error
0.16253264432496967
mean_absolute_error
0.16275691845769966
mean_absolute_error
0.18670969213418664
mean_absolute_error
0.17184651271930684
mean_absolute_error
0.18042503999259765
mean_absolute_error
0.17214778504546066
mean_absolute_error
0.14689293866706557
mean_absolute_error
0.19626405277900638
mean_absolute_error
0.17852904665509928
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
0.9016582552271089 [1,0.849315]
precision
0.9698785425101215 [1,0.953846]
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
0.8842105263157894
predictive_accuracy
0.9684210526315788
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
0.8842105263157894 [0.666667,1]
recall
0.968421052631579 [0.909091,1]
relative_absolute_error
0.36722531507275424
relative_absolute_error
0.3594674466280101
relative_absolute_error
0.35996346544424235
relative_absolute_error
0.412938930335652
relative_absolute_error
0.3800665853662417
relative_absolute_error
0.3990393973054422
relative_absolute_error
0.3780654815982659
relative_absolute_error
0.3226015924973011
relative_absolute_error
0.4330087237449587
relative_absolute_error
0.3938807619068881
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
0.2180689302265502
root_mean_squared_error
0.20753828996732876
root_mean_squared_error
0.202554363933215
root_mean_squared_error
0.2510964576042959
root_mean_squared_error
0.2328723224579141
root_mean_squared_error
0.2266585310467336
root_mean_squared_error
0.233242489927877
root_mean_squared_error
0.20425450859718014
root_mean_squared_error
0.266601240111519
root_mean_squared_error
0.23470987322938883
root_relative_squared_error
0.4591222936295566
root_relative_squared_error
0.4369510851764376
root_relative_squared_error
0.4264579280371554
root_relative_squared_error
0.5286584449136031
root_relative_squared_error
0.49028935345646935
root_relative_squared_error
0.477206837933176
root_relative_squared_error
0.48763304592470463
root_relative_squared_error
0.4270287467857821
root_relative_squared_error
0.5599286924405023
root_relative_squared_error
0.49294891638626503
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