10160738
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8876
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
8086228
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
23406
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
21242276
description
https://api.openml.org/data/download/21242276/description.xml
-1
21242275
predictions
https://api.openml.org/data/download/21242275/predictions.arff
area_under_roc_curve
0.8837395846305097 [0.0,1,0.920889,0.862697,0.864361,0.876174,0.940491]
average_cost
0
f_measure
0.8194957439174592 [0.0,1,0.844444,0.825397,0.792793,0.806452,0.833333]
kappa
0.7675309550079685
kb_relative_information_score
160.65072156918148
mean_absolute_error
0.0515679442508711
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.8245374787738209 [0.0,1,0.826087,0.881356,0.77193,0.833333,0.757576]
predictive_accuracy
0.8195121951219513
prior_entropy
2.326811368739461
recall
0.8195121951219512 [0.0,1,0.863636,0.776119,0.814815,0.78125,0.925926]
relative_absolute_error
0.23342459231043955
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.22708576408676767
root_relative_squared_error
0.6844913086078437
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 [0.0,0.0,0.75,0.75,0.816667,1,0.972222]
area_under_roc_curve
0.9210526315789473 [0.0,1,0.973684,1,0.833333,0.833333,0.947368]
area_under_roc_curve
0.8403508771929825 [0.0,1,0.973684,0.857143,0.866667,0.833333,0.5]
area_under_roc_curve
0.9046365914786967 [0.0,1,1,0.892857,0.8,1,0.973684]
area_under_roc_curve
0.8761437908496731 [0.0,0.0,0.972222,0.857143,0.833333,0.803922,1]
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
0.9060049019607842 [0.0,0.0,1,0.916667,0.966667,0.71875,0.970588]
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
0.7551020408163265 [0.0,0.0,0.666667,0.666667,0.714286,1,0.857143]
f_measure
0.8634920634920634 [0.0,1,0.8,1,0.8,0.8,0.666667]
f_measure
0.8554112554112555 [0.0,1,1,0.857143,0.727273,1,0.8]
f_measure
0.8034848484848485 [0.0,0.0,0.8,0.833333,0.727273,0.666667,1]
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
0.8428571428571429 [0.0,0.0,1,0.909091,0.909091,0.571429,0.857143]
f_measure
0.8507692307692309 [0.0,0.0,1,0.769231,0.8,0.8,1]
kappa
0.7
kappa
0.6865671641791045
kappa
0.818443804034582
kappa
0.6846846846846846
kappa
0.8157894736842105
kappa
0.7427652733118971
kappa
0.6753246753246753
kappa
0.9348534201954397
kappa
0.8076923076923077
kappa
0.8058252427184466
kb_relative_information_score
15.169300956825786
kb_relative_information_score
14.628733820887712
kb_relative_information_score
17.837098405696164
kb_relative_information_score
15.307012219698152
kb_relative_information_score
18.150479179000946
kb_relative_information_score
14.927124077643231
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
0.04081632653061224
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.04081632653061224
mean_absolute_error
0.05714285714285714
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
0.7904761904761906 [0.0,0.0,1,0.8,0.625,1,0.75]
precision
0.9206349206349206 [0.0,1,0.666667,1,1,1,0.5]
precision
0.8634920634920634 [0.0,1,1,0.857143,0.8,1,0.666667]
precision
0.8333333333333334 [0.0,0.0,0.666667,1,0.666667,0.666667,1]
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
0.8541666666666667 [0.0,0.0,1,1,0.833333,0.666667,0.75]
precision
0.8642857142857142 [0.0,0.0,1,0.714286,0.8,1,1]
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8
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 [0.0,0.0,0.5,0.571429,0.833333,1,1]
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
0.8571428571428571 [0.0,1,1,0.857143,0.666667,1,1]
recall
0.8 [0.0,0.0,1,0.714286,0.8,0.666667,1]
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
0.1848299912816042
relative_absolute_error
0.3080499854693403
relative_absolute_error
0.1848299912816042
relative_absolute_error
0.26012269938650306
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
0.20203050891044214
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.20203050891044214
root_mean_squared_error
0.23904572186687872
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
0.6092104939070502
root_relative_squared_error
0.7864873657456001
root_relative_squared_error
0.6092104939070502
root_relative_squared_error
0.7246434111844648
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
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
15.625
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
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0