10154811
287
Hugo Spee
9
Supervised Classification
predictive_accuracy
8879
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)
8080389
bootstrap
true
8871
class_weight
null
8871
criterion
"gini"
8871
max_depth
null
8871
max_features
null
8871
max_leaf_nodes
null
8871
min_impurity_decrease
0.0
8871
min_impurity_split
null
8871
min_samples_leaf
1
8871
min_samples_split
2
8871
min_weight_fraction_leaf
0.0
8871
n_estimators
10
8871
n_jobs
null
8871
oob_score
false
8871
random_state
21684
8871
verbose
0
8871
warm_start
false
8871
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
memory
null
8879
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
9
autos
https://www.openml.org/data/download/9/dataset_9_autos.arff
-1
21230210
description
https://api.openml.org/data/download/21230210/description.xml
-1
21230211
predictions
https://api.openml.org/data/download/21230211/predictions.arff
area_under_roc_curve
0.9548148675507314 [0.0,0.999175,0.934675,0.964039,0.940888,0.975072,0.947253]
average_cost
0
f_measure
0.803093500996535 [0.0,0.8,0.829268,0.819444,0.810811,0.740741,0.8]
kappa
0.7429789368104314
kb_relative_information_score
144.6825096778683
mean_absolute_error
0.08264808362369325
mean_prior_absolute_error
0.22091907172440978
number_of_instances
205 [0,3,22,67,54,32,27]
precision
0.8144324225197139 [0.0,1,0.894737,0.766234,0.789474,0.909091,0.785714]
predictive_accuracy
0.8048780487804877
prior_entropy
2.326811368739461
recall
0.8048780487804879 [0.0,0.666667,0.772727,0.880597,0.833333,0.625,0.814815]
relative_absolute_error
0.37411022497321716
root_mean_prior_squared_error
0.33175843320586096
root_mean_squared_error
0.1938065417104285
root_relative_squared_error
0.5841796991793987
total_cost
0
area_under_roc_curve
0.9529006046863189 [0.0,0.0,0.953704,0.984694,0.8625,1,0.981481]
area_under_roc_curve
0.909758523292358 [0.0,0.0,0.684211,0.923469,0.911111,1,0.935185]
area_under_roc_curve
0.9776524644945698 [0.0,1,0.973684,1,0.944444,0.972222,1]
area_under_roc_curve
0.9147839837689462 [0.0,0.975,1,0.97449,0.966667,0.888889,0.473684]
area_under_roc_curve
0.9496359947487767 [0.0,1,1,0.959184,0.888889,1,0.947368]
area_under_roc_curve
0.9896229260935142 [0.0,0.0,1,0.983516,0.993333,0.980392,1]
area_under_roc_curve
0.9514932126696832 [0.0,0.0,1,0.93956,0.92,0.95098,1]
area_under_roc_curve
0.9480109126984126 [0.0,0.0,0.722222,0.940476,0.993333,0.976562,1]
area_under_roc_curve
0.9799255952380953 [0.0,0.0,1,0.970238,0.986667,0.960938,1]
area_under_roc_curve
0.983095238095238 [0.0,0.0,1,0.988095,0.946667,1,1]
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
0.9023431594860166 [0.0,0.0,0.8,0.933333,0.888889,1,0.857143]
f_measure
0.805952380952381 [0.0,1,0.5,0.875,0.8,0.8,0.8]
f_measure
0.8077922077922077 [0.0,1,1,0.8,0.727273,1,0.5]
f_measure
0.9472727272727273 [0.0,0.0,1,1,0.909091,0.8,1]
f_measure
0.7416666666666667 [0.0,0.0,1,0.8,0.666667,0.5,0.8]
f_measure
0.7531746031746033 [0.0,0.0,0.666667,0.666667,0.888889,0.571429,1]
f_measure
0.8413752913752912 [0.0,0.0,1,0.769231,0.909091,0.666667,1]
f_measure
0.7985714285714286 [0.0,0.0,1,0.727273,0.727273,0.8,0.857143]
kappa
0.8757396449704142
kappa
0.6798780487804877
kappa
0.7507418397626113
kappa
0.544891640866873
kappa
0.7507418397626113
kappa
0.9337748344370861
kappa
0.6621621621621622
kappa
0.66996699669967
kappa
0.8045602605863191
kappa
0.744408945686901
kb_relative_information_score
15.58052620406139
kb_relative_information_score
12.443674743018716
kb_relative_information_score
15.46553797887357
kb_relative_information_score
13.248495505407003
kb_relative_information_score
15.312572810923479
kb_relative_information_score
14.807583696632673
kb_relative_information_score
13.070597794474377
kb_relative_information_score
14.046132779969344
kb_relative_information_score
15.18283702923204
kb_relative_information_score
15.524551135275798
mean_absolute_error
0.07210884353741495
mean_absolute_error
0.09387755102040815
mean_absolute_error
0.08299319727891155
mean_absolute_error
0.10068027210884352
mean_absolute_error
0.0870748299319728
mean_absolute_error
0.07285714285714284
mean_absolute_error
0.09428571428571428
mean_absolute_error
0.08142857142857142
mean_absolute_error
0.06999999999999998
mean_absolute_error
0.06999999999999999
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
0.9226190476190477 [0.0,0.0,1,0.875,1,1,0.75]
precision
0.8465608465608464 [0.0,1,0.5,0.777778,1,1,0.666667]
precision
0.8119047619047619 [0.0,1,1,0.75,0.8,1,0.5]
precision
0.9583333333333334 [0.0,0.0,1,1,0.833333,1,1]
precision
0.8053571428571429 [0.0,0.0,1,0.75,0.571429,1,1]
precision
0.8 [0.0,0.0,1,0.555556,1,0.666667,1]
precision
0.8726190476190476 [0.0,0.0,1,0.714286,0.833333,1,1]
precision
0.8191666666666666 [0.0,0.0,1,0.8,0.666667,1,0.75]
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.95
predictive_accuracy
0.75
predictive_accuracy
0.75
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
0.9047619047619048 [0.0,0.0,0.666667,1,0.8,1,1]
recall
0.7619047619047619 [0.0,0.0,0,0.857143,0.833333,1,0.666667]
recall
0.8095238095238095 [0.0,1,0.5,1,0.666667,0.666667,1]
recall
0.6666666666666666 [0.0,0,1,0.857143,1,0,0]
recall
0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5]
recall
0.95 [0.0,0.0,1,1,1,0.666667,1]
recall
0.75 [0.0,0.0,1,0.857143,0.8,0.333333,0.666667]
recall
0.75 [0.0,0.0,0.5,0.833333,0.8,0.5,1]
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
0.3257755871267033
relative_absolute_error
0.4280948200175592
relative_absolute_error
0.3758209822725952
relative_absolute_error
0.4559139784946237
relative_absolute_error
0.3943039814007557
relative_absolute_error
0.33165644171779135
relative_absolute_error
0.42920245398773
relative_absolute_error
0.3667374810318665
relative_absolute_error
0.31526555386949917
relative_absolute_error
0.3143116490166414
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
0.1765119332652442
root_mean_squared_error
0.23299294900428702
root_mean_squared_error
0.1888021676342763
root_mean_squared_error
0.23704530408864083
root_mean_squared_error
0.1972601445448379
root_mean_squared_error
0.161245154965971
root_mean_squared_error
0.19964253769460769
root_mean_squared_error
0.1904880948660947
root_mean_squared_error
0.16647608150808246
root_mean_squared_error
0.16775832957816772
root_relative_squared_error
0.5310227398879352
root_relative_squared_error
0.707547956077119
root_relative_squared_error
0.569321249624661
root_relative_squared_error
0.714795441346947
root_relative_squared_error
0.5948257554486888
root_relative_squared_error
0.4887987043607431
root_relative_squared_error
0.6051965640828668
root_relative_squared_error
0.5712881720628479
root_relative_squared_error
0.49927433188826625
root_relative_squared_error
0.5016020937106329
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