10154839
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8876
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
8080399
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
6008
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
21230292
description
https://api.openml.org/data/download/21230292/description.xml
-1
21230293
predictions
https://api.openml.org/data/download/21230293/predictions.arff
area_under_roc_curve
0.8605718744566343 [0.0,1,0.918157,0.825817,0.864361,0.848988,0.890553]
average_cost
0
f_measure
0.7849574657884542 [0.0,1,0.826087,0.771654,0.792793,0.738462,0.8]
kappa
0.723126035975198
kb_relative_information_score
152.5289792746705
mean_absolute_error
0.06132404181184673
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.7868514968129859 [0.0,1,0.791667,0.816667,0.77193,0.727273,0.785714]
predictive_accuracy
0.7853658536585365
prior_entropy
2.326811368739461
recall
0.7853658536585366 [0.0,1,0.863636,0.731343,0.814815,0.75,0.814815]
relative_absolute_error
0.2775860016664687
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.2476369152849525
root_relative_squared_error
0.7464374391088657
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
0.8847953216374268 [0.0,0.0,0.973684,0.785714,0.883333,0.972222,0.972222]
area_under_roc_curve
0.7791144527986633 [0.0,1,0.723684,0.821429,0.8,0.638889,0.723684]
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
0.8761437908496731 [0.0,0.0,0.972222,0.857143,0.833333,0.803922,1]
area_under_roc_curve
0.7963800904977376 [0.0,0.0,1,0.741758,0.8,0.803922,0.77451]
area_under_roc_curve
0.9354166666666666 [0.0,0.0,0.75,0.916667,0.966667,0.96875,1]
area_under_roc_curve
0.8976190476190476 [0.0,0.0,1,0.880952,0.933333,0.75,1]
area_under_roc_curve
0.8619047619047618 [0.0,0.0,1,0.761905,0.833333,0.833333,1]
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
0.8016079158936302 [0.0,0.0,0.8,0.727273,0.833333,0.857143,0.857143]
f_measure
0.6577922077922077 [0.0,1,0.5,0.75,0.727273,0.4,0.5]
f_measure
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
f_measure
0.8034848484848485 [0.0,0.0,0.8,0.833333,0.727273,0.666667,1]
f_measure
0.706547619047619 [0.0,0.0,1,0.666667,0.75,0.666667,0.571429]
f_measure
0.8944444444444443 [0.0,0.0,0.666667,0.909091,0.909091,0.888889,1]
f_measure
0.8416666666666666 [0.0,0.0,1,0.833333,0.833333,0.666667,1]
f_measure
0.801818181818182 [0.0,0.0,1,0.666667,0.727273,0.8,1]
kappa
0.7
kappa
0.7579250720461096
kappa
0.5585585585585585
kappa
0.6902654867256637
kappa
0.7514792899408285
kappa
0.7427652733118971
kappa
0.6052631578947368
kappa
0.8705501618122977
kappa
0.8051948051948051
kappa
0.7419354838709679
kb_relative_information_score
15.169300956825786
kb_relative_information_score
16.077083512712548
kb_relative_information_score
12.842690696104656
kb_relative_information_score
15.307012219698152
kb_relative_information_score
16.807472146718524
kb_relative_information_score
14.927124077643231
kb_relative_information_score
12.561317999987663
kb_relative_information_score
17.152906875626034
kb_relative_information_score
16.084824808661825
kb_relative_information_score
15.599245980692281
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.05442176870748299
mean_absolute_error
0.09523809523809522
mean_absolute_error
0.06802721088435373
mean_absolute_error
0.05442176870748299
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.0857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.05714285714285714
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
0.8492063492063493 [0.0,0.0,0.666667,1,0.833333,0.75,0.75]
precision
0.665079365079365 [0.0,1,0.5,0.666667,0.8,0.5,0.5]
precision
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
precision
0.8333333333333334 [0.0,0.0,0.666667,1,0.666667,0.666667,1]
precision
0.74375 [0.0,0.0,1,0.625,1,0.666667,0.5]
precision
0.9183333333333333 [0.0,0.0,1,1,0.833333,0.8,1]
precision
0.8785714285714284 [0.0,0.0,1,0.833333,0.714286,1,1]
precision
0.8166666666666667 [0.0,0.0,1,0.666667,0.666667,1,1]
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.8
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
0.8095238095238095 [0.0,0.0,1,0.571429,0.833333,1,1]
recall
0.6666666666666666 [0.0,1,0.5,0.857143,0.666667,0.333333,0.5]
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
0.8 [0.0,0.0,1,0.714286,0.8,0.666667,1]
recall
0.7 [0.0,0.0,1,0.714286,0.6,0.666667,0.666667]
recall
0.9 [0.0,0.0,0.5,0.833333,1,1,1]
recall
0.85 [0.0,0.0,1,0.833333,1,0.5,1]
recall
0.8 [0.0,0.0,1,0.666667,0.8,0.666667,1]
relative_absolute_error
0.30733545955349373
relative_absolute_error
0.2481709101551068
relative_absolute_error
0.4312699796570765
relative_absolute_error
0.3080499854693403
relative_absolute_error
0.2464399883754723
relative_absolute_error
0.26012269938650306
relative_absolute_error
0.3901840490797545
relative_absolute_error
0.12867981790591806
relative_absolute_error
0.19301972685887708
relative_absolute_error
0.25658093797276854
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
0.23328473740792172
root_mean_squared_error
0.30860669992418377
root_mean_squared_error
0.2608202654786505
root_mean_squared_error
0.23328473740792172
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.2927700218845599
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.23904572186687872
root_relative_squared_error
0.7846579516221471
root_relative_squared_error
0.7084340528001358
root_relative_squared_error
0.9305844008301635
root_relative_squared_error
0.7864873657456001
root_relative_squared_error
0.7034556853007606
root_relative_squared_error
0.7246434111844648
root_relative_squared_error
0.8875033014358797
root_relative_squared_error
0.5069362782324008
root_relative_squared_error
0.6208676068874726
root_relative_squared_error
0.7147533888928319
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
15.625
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
15.625
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