10160730
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8876
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
8086222
class_weight
null
8847
criterion
"gini"
8847
max_depth
null
8847
max_features
null
8847
max_leaf_nodes
null
8847
min_impurity_decrease
0.0
8847
min_impurity_split
null
8847
min_samples_leaf
1
8847
min_samples_split
2
8847
min_weight_fraction_leaf
0.0
8847
presort
false
8847
random_state
54085
8847
splitter
"best"
8847
memory
null
8876
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
21242259
description
https://api.openml.org/data/download/21242259/description.xml
-1
21242260
predictions
https://api.openml.org/data/download/21242260/predictions.arff
area_under_roc_curve
0.8680573688878342 [0.0,0.833333,0.915425,0.847988,0.855102,0.839144,0.9433]
average_cost
0
f_measure
0.7943401507261297 [0.0,0.8,0.808511,0.80315,0.781818,0.741935,0.847458]
kappa
0.7358976718505568
kb_relative_information_score
153.69314136021646
mean_absolute_error
0.0585365853658537
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.7988359465737515 [0.0,1,0.76,0.85,0.767857,0.766667,0.78125]
predictive_accuracy
0.7951219512195122
prior_entropy
2.326811368739461
recall
0.7951219512195122 [0.0,0.666667,0.863636,0.761194,0.796296,0.71875,0.925926]
relative_absolute_error
0.26496845613617465
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.24194335156365362
root_relative_squared_error
0.7292756636981228
total_cost
0
area_under_roc_curve
0.8531746031746033 [0.0,0.0,0.805556,0.75,0.9,0.944444,0.972222]
area_under_roc_curve
0.8365079365079365 [0.0,0.0,0.75,0.821429,0.816667,0.833333,0.972222]
area_under_roc_curve
0.8575605680868839 [0.0,1,0.973684,0.892857,0.833333,0.638889,0.947368]
area_under_roc_curve
0.7877192982456139 [0.0,0.5,0.921053,0.857143,0.783333,0.833333,0.5]
area_under_roc_curve
0.9046365914786967 [0.0,1,1,0.892857,0.8,1,0.973684]
area_under_roc_curve
0.8467320261437908 [0.0,0.0,0.972222,0.785714,0.833333,0.77451,1]
area_under_roc_curve
0.834841628959276 [0.0,0.0,1,0.78022,0.8,0.803922,0.941176]
area_under_roc_curve
0.9666666666666666 [0.0,0.0,0.75,1,0.966667,1,1]
area_under_roc_curve
0.899702380952381 [0.0,0.0,1,0.880952,0.966667,0.71875,1]
area_under_roc_curve
0.8952380952380953 [0.0,0.0,1,0.845238,0.866667,0.833333,1]
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
0.7586923658352229 [0.0,0.0,0.666667,0.666667,0.888889,0.75,0.857143]
f_measure
0.7607186464329322 [0.0,0.0,0.666667,0.769231,0.714286,0.8,0.857143]
f_measure
0.7587301587301588 [0.0,1,0.8,0.857143,0.8,0.4,0.666667]
f_measure
0.8554112554112555 [0.0,1,1,0.857143,0.727273,1,0.8]
f_measure
0.7520779220779221 [0.0,0.0,0.8,0.727273,0.727273,0.571429,1]
f_measure
0.75 [0.0,0.0,1,0.714286,0.75,0.666667,0.75]
f_measure
0.943939393939394 [0.0,0.0,0.666667,1,0.909091,1,1]
f_measure
0.8415584415584416 [0.0,0.0,1,0.833333,0.909091,0.571429,1]
f_measure
0.8507692307692309 [0.0,0.0,1,0.769231,0.8,0.8,1]
kappa
0.7
kappa
0.6827794561933535
kappa
0.6974063400576369
kappa
0.5625
kappa
0.8157894736842105
kappa
0.6825396825396826
kappa
0.6753246753246753
kappa
0.9348534201954397
kappa
0.8058252427184466
kappa
0.8058252427184466
kb_relative_information_score
15.169300956825786
kb_relative_information_score
14.315353047582926
kb_relative_information_score
15.634047420211905
kb_relative_information_score
11.810698875611882
kb_relative_information_score
18.150479179000946
kb_relative_information_score
13.982288971553498
kb_relative_information_score
13.904325032270085
kb_relative_information_score
18.097741981715775
kb_relative_information_score
16.084824808661825
kb_relative_information_score
16.54408108678201
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.09523809523809522
mean_absolute_error
0.04081632653061224
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.014285714285714285
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.04285714285714286
mean_prior_absolute_error
0.22134514183031703
mean_prior_absolute_error
0.21929149018097804
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.22083172891798225
mean_prior_absolute_error
0.2196765498652291
mean_prior_absolute_error
0.2196765498652291
mean_prior_absolute_error
0.22203504043126684
mean_prior_absolute_error
0.22203504043126684
mean_prior_absolute_error
0.2227088948787062
number_of_instances
21 [0,0,3,7,5,3,3]
number_of_instances
21 [0,0,2,7,6,3,3]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
21 [0,1,2,7,6,3,2]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,7,5,3,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,2,6,5,4,3]
number_of_instances
20 [0,0,3,6,5,3,3]
precision
0.7928571428571429 [0.0,0.0,0.666667,0.8,1,0.6,0.75]
precision
0.8015873015873017 [0.0,0.0,1,0.833333,0.625,1,0.75]
precision
0.8015873015873015 [0.0,1,0.666667,0.857143,1,0.5,0.5]
precision
0.8634920634920634 [0.0,1,1,0.857143,0.8,1,0.666667]
precision
0.8083333333333333 [0.0,0.0,0.666667,1,0.666667,0.5,1]
precision
0.79 [0.0,0.0,1,0.714286,1,0.666667,0.6]
precision
0.9583333333333334 [0.0,0.0,1,1,0.833333,1,1]
precision
0.8416666666666668 [0.0,0.0,1,0.833333,0.833333,0.666667,1]
precision
0.8642857142857142 [0.0,0.0,1,0.714286,0.8,1,1]
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.95
predictive_accuracy
0.85
predictive_accuracy
0.85
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
prior_entropy
2.326811368739461
recall
0.7619047619047619 [0.0,0.0,0.666667,0.571429,0.8,1,1]
recall
0.7619047619047619 [0.0,0.0,0.5,0.714286,0.833333,0.666667,1]
recall
0.7619047619047619 [0.0,1,1,0.857143,0.666667,0.333333,1]
recall
0.6666666666666666 [0.0,0,1,0.714286,0.833333,0.666667,0]
recall
0.8571428571428571 [0.0,1,1,0.857143,0.666667,1,1]
recall
0.75 [0.0,0.0,1,0.571429,0.8,0.666667,1]
recall
0.75 [0.0,0.0,1,0.714286,0.6,0.666667,1]
recall
0.95 [0.0,0.0,0.5,1,1,1,1]
recall
0.85 [0.0,0.0,1,0.833333,1,0.5,1]
recall
0.85 [0.0,0.0,1,0.833333,0.8,0.666667,1]
relative_absolute_error
0.30733545955349373
relative_absolute_error
0.3102136376938835
relative_absolute_error
0.3080499854693403
relative_absolute_error
0.4312699796570765
relative_absolute_error
0.1848299912816042
relative_absolute_error
0.3251533742331288
relative_absolute_error
0.3251533742331288
relative_absolute_error
0.06433990895295903
relative_absolute_error
0.19301972685887708
relative_absolute_error
0.1924357034795764
root_mean_prior_squared_error
0.33239995202935096
root_mean_prior_squared_error
0.3292963353269754
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3316267709289768
root_mean_prior_squared_error
0.3298804876679233
root_mean_prior_squared_error
0.3298804876679233
root_mean_prior_squared_error
0.33343609089308945
root_mean_prior_squared_error
0.33343609089308945
root_mean_prior_squared_error
0.33444503458341845
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.30860669992418377
root_mean_squared_error
0.20203050891044214
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.11952286093343936
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.20701966780270625
root_relative_squared_error
0.7846579516221471
root_relative_squared_error
0.7920533498183895
root_relative_squared_error
0.7864873657456001
root_relative_squared_error
0.9305844008301635
root_relative_squared_error
0.6092104939070502
root_relative_squared_error
0.8101759634278975
root_relative_squared_error
0.8101759634278975
root_relative_squared_error
0.3584580799676011
root_relative_squared_error
0.6208676068874726
root_relative_squared_error
0.6189945922222106
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
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0