9996235
7518
Thomas Boquet
145804
Supervised Classification
8887
sklearn.ensemble.forest.RandomForestClassifier(47)
7921008
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
10
8887
min_samples_split
5
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
20912992
description
https://api.openml.org/data/download/20912992/description.xml
-1
20912993
predictions
https://api.openml.org/data/download/20912993/predictions.arff
area_under_roc_curve
0.9793631394587936 [0.979363,0.979363]
average_cost
0
f_measure
0.865188070445375 [0.777164,0.911872]
kappa
0.6950248625325581
kb_relative_information_score
472.567002531932
mean_absolute_error
0.2532573913661206
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.8941542090421533 [1,0.838019]
predictive_accuracy
0.8736951983298539
prior_entropy
0.9312461581068427
recall
0.8736951983298539 [0.635542,1]
relative_absolute_error
0.5590577494505633
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.30739479124245395
root_relative_squared_error
0.6459601203853877
total_cost
0
area_under_roc_curve
0.9908609908609908 [0.990861,0.990861]
area_under_roc_curve
0.9966329966329966 [0.996633,0.996633]
area_under_roc_curve
0.9894179894179894 [0.989418,0.989418]
area_under_roc_curve
0.9668109668109667 [0.966811,0.966811]
area_under_roc_curve
0.9759499759499759 [0.97595,0.97595]
area_under_roc_curve
0.9817219817219818 [0.981722,0.981722]
area_under_roc_curve
0.9829222011385199 [0.982922,0.982922]
area_under_roc_curve
0.9767552182163189 [0.976755,0.976755]
area_under_roc_curve
0.9418377321603129 [0.941838,0.941838]
area_under_roc_curve
0.9843597262952102 [0.98436,0.98436]
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
0.8543080629835754 [0.754717,0.906475]
f_measure
0.878558394160584 [0.8,0.919708]
f_measure
0.9246766280107047 [0.881356,0.947368]
f_measure
0.8290832290362954 [0.705882,0.893617]
f_measure
0.8418269230769231 [0.730769,0.9]
f_measure
0.878558394160584 [0.8,0.919708]
f_measure
0.8550044238000442 [0.763636,0.905109]
f_measure
0.9022715687523895 [0.847458,0.932331]
f_measure
0.8274049491057308 [0.705882,0.892086]
f_measure
0.8528678810371197 [0.754717,0.905109]
kappa
0.6687898089171975
kappa
0.7241379310344827
kappa
0.8297872340425533
kappa
0.6116504854368932
kappa
0.6404494382022471
kappa
0.7241379310344827
kappa
0.6760124610591901
kappa
0.7820383451059536
kappa
0.6103363412633305
kappa
0.667563930013459
kb_relative_information_score
47.29734935360104
kb_relative_information_score
47.54225766762695
kb_relative_information_score
50.56967922657093
kb_relative_information_score
43.01968785333545
kb_relative_information_score
48.95621654311475
kb_relative_information_score
46.18416068742203
kb_relative_information_score
48.04613360748521
kb_relative_information_score
54.70693007467546
kb_relative_information_score
40.51777702308534
kb_relative_information_score
45.72681049501506
mean_absolute_error
0.25083231383012305
mean_absolute_error
0.25722347319205713
mean_absolute_error
0.24368050355911228
mean_absolute_error
0.26805576781570034
mean_absolute_error
0.2399666153547891
mean_absolute_error
0.2614323123518981
mean_absolute_error
0.25186350833506843
mean_absolute_error
0.22313615194659422
mean_absolute_error
0.27869349744035443
mean_absolute_error
0.2580041749359704
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
0.8877467105263158 [1,0.828947]
precision
0.9024493243243242 [1,0.851351]
precision
0.9343750000000001 [1,0.9]
precision
0.873798076923077 [1,0.807692]
precision
0.8806818181818182 [1,0.818182]
precision
0.9024493243243242 [1,0.851351]
precision
0.8880555555555555 [1,0.826667]
precision
0.9181338028169014 [1,0.873239]
precision
0.8728639781271361 [1,0.805195]
precision
0.8868771929824562 [1,0.826667]
predictive_accuracy
0.8645833333333333
predictive_accuracy
0.8854166666666667
predictive_accuracy
0.9270833333333333
predictive_accuracy
0.84375
predictive_accuracy
0.8541666666666667
predictive_accuracy
0.8854166666666667
predictive_accuracy
0.8645833333333333
predictive_accuracy
0.90625
predictive_accuracy
0.8421052631578948
predictive_accuracy
0.863157894736842
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
0.8645833333333334 [0.606061,1]
recall
0.8854166666666666 [0.666667,1]
recall
0.9270833333333334 [0.787879,1]
recall
0.84375 [0.545455,1]
recall
0.8541666666666666 [0.575758,1]
recall
0.8854166666666666 [0.666667,1]
recall
0.8645833333333334 [0.617647,1]
recall
0.90625 [0.735294,1]
recall
0.8421052631578947 [0.545455,1]
recall
0.8631578947368421 [0.606061,1]
relative_absolute_error
0.5547565644968588
relative_absolute_error
0.5688916556126697
relative_absolute_error
0.5389391698585974
relative_absolute_error
0.5928490415621528
relative_absolute_error
0.5307253004822974
relative_absolute_error
0.5782001897372425
relative_absolute_error
0.5531346136726688
relative_absolute_error
0.4900445087074181
relative_absolute_error
0.6148691720869993
relative_absolute_error
0.5692232323139189
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
0.30714937348907606
root_mean_squared_error
0.2986542780161085
root_mean_squared_error
0.2855293357752311
root_mean_squared_error
0.3277764210933398
root_mean_squared_error
0.3027900872699368
root_mean_squared_error
0.3069351746322865
root_mean_squared_error
0.3091483161243591
root_mean_squared_error
0.2788309565437177
root_mean_squared_error
0.3395505356926613
root_mean_squared_error
0.31331463955213096
root_relative_squared_error
0.6466722457742248
root_relative_squared_error
0.6287866730147356
root_relative_squared_error
0.6011534215509586
root_relative_squared_error
0.6901004287668085
root_relative_squared_error
0.6374942052095296
root_relative_squared_error
0.6462212715326402
root_relative_squared_error
0.6463270696554035
root_relative_squared_error
0.5829434794644649
root_relative_squared_error
0.713140296678047
root_relative_squared_error
0.6580384111248252
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