10160695
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8876
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
8086196
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
27922
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
21242190
description
https://api.openml.org/data/download/21242190/description.xml
-1
21242189
predictions
https://api.openml.org/data/download/21242189/predictions.arff
area_under_roc_curve
0.8719885516024418 [0.0,1,0.920889,0.851395,0.857739,0.848988,0.924782]
average_cost
0
f_measure
0.8003805690504089 [0.0,1,0.844444,0.813008,0.778761,0.738462,0.827586]
kappa
0.7428011873068332
kb_relative_information_score
156.1598284453251
mean_absolute_error
0.057142857142857176
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.8070364933403107 [0.0,1,0.826087,0.892857,0.745763,0.727273,0.774194]
predictive_accuracy
0.8
prior_entropy
2.326811368739461
recall
0.8 [0.0,1,0.863636,0.746269,0.814815,0.75,0.888889]
relative_absolute_error
0.2586596833710276
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.2390457218668788
root_relative_squared_error
0.7205415083406408
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
0.7833333333333333 [0.0,0.0,0.75,0.785714,0.7,0.777778,0.972222]
area_under_roc_curve
0.9116541353383457 [0.0,1,0.973684,0.964286,0.833333,0.833333,0.973684]
area_under_roc_curve
0.8514619883040935 [0.0,1,0.973684,0.857143,0.933333,0.777778,0.5]
area_under_roc_curve
0.8713032581453634 [0.0,1,1,0.892857,0.766667,1,0.723684]
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
0.903921568627451 [0.0,0.0,1,0.916667,0.933333,0.75,0.970588]
area_under_roc_curve
0.8976190476190476 [0.0,0.0,1,0.797619,0.933333,0.833333,1]
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
0.6732632446918162 [0.0,0.0,0.666667,0.727273,0.571429,0.571429,0.857143]
f_measure
0.8539682539682542 [0.0,1,0.8,0.933333,0.8,0.8,0.8]
f_measure
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
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
0.8429653679653679 [0.0,0.0,1,0.909091,0.833333,0.666667,0.857143]
f_measure
0.8465151515151514 [0.0,0.0,1,0.727273,0.833333,0.8,1]
kappa
0.7
kappa
0.5663716814159291
kappa
0.8157894736842105
kappa
0.6902654867256637
kappa
0.7514792899408285
kappa
0.6825396825396826
kappa
0.6753246753246753
kappa
0.9348534201954397
kappa
0.8070739549839228
kappa
0.8070739549839228
kb_relative_information_score
15.169300956825786
kb_relative_information_score
12.347718896120043
kb_relative_information_score
17.837098405696164
kb_relative_information_score
15.307012219698152
kb_relative_information_score
16.807472146718524
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
16.62204502606543
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.09523809523809522
mean_absolute_error
0.04081632653061224
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.05442176870748299
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
0.75 [0.0,0.0,1,1,0.5,0.5,0.75]
precision
0.8948412698412698 [0.0,1,0.666667,0.875,1,1,0.666667]
precision
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
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
0.8910714285714285 [0.0,0.0,1,1,0.714286,1,0.75]
precision
0.8685714285714287 [0.0,0.0,1,0.8,0.714286,1,1]
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8095238095238095
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
0.6666666666666666 [0.0,0.0,0.5,0.571429,0.666667,0.666667,1]
recall
0.8571428571428571 [0.0,1,1,1,0.666667,0.666667,1]
recall
0.7619047619047619 [0.0,1,1,0.714286,1,0.666667,0]
recall
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
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 [0.0,0.0,1,0.666667,1,0.666667,1]
relative_absolute_error
0.30733545955349373
relative_absolute_error
0.43429909277143686
relative_absolute_error
0.1848299912816042
relative_absolute_error
0.3080499854693403
relative_absolute_error
0.2464399883754723
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
0.30860669992418377
root_mean_squared_error
0.20203050891044214
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.23328473740792172
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
0.9371701619993803
root_relative_squared_error
0.6092104939070502
root_relative_squared_error
0.7864873657456001
root_relative_squared_error
0.7034556853007606
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
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
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0