10228940
8323
Heinrich Peters
22
Supervised Classification
12677
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)
8154042
l2_regularization
1e-07
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
256
12677
max_depth
12
12677
max_iter
500
12677
max_leaf_nodes
4
12677
min_samples_leaf
16
12677
n_iter_no_change
null
12677
random_state
59896
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.2
12677
verbose
0
12677
openml-python
Sklearn_0.21.2.
22
mfeat-zernike
https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff
-1
21379294
description
https://api.openml.org/data/download/21379294/description.xml
-1
21379295
predictions
https://api.openml.org/data/download/21379295/predictions.arff
area_under_roc_curve
0.9747202777777777 [0.997925,0.998344,0.998694,0.991797,0.997089,0.990344,0.88621,0.998592,0.998681,0.889526]
average_cost
0
f_measure
0.8026061750625021 [0.975,0.955665,0.952381,0.883249,0.947368,0.882206,0.260241,0.957179,0.954545,0.258228]
kappa
0.778888888888889
kb_relative_information_score
0.8053420990742576
mean_absolute_error
0.04053799001202055
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8044053484526463 [0.975,0.941748,0.954774,0.896907,0.949749,0.884422,0.251163,0.964467,0.964286,0.261538]
predictive_accuracy
0.8009999999999999
prior_entropy
3.3219280948872383
recall
0.801 [0.975,0.97,0.95,0.87,0.945,0.88,0.27,0.95,0.945,0.255]
relative_absolute_error
0.22521105562232946
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1825503805688579
root_relative_squared_error
0.6085012685628503
total_cost
0
area_under_roc_curve
0.9765555555555555 [0.992222,1,0.998889,0.997778,1,0.991667,0.886111,0.999167,0.997778,0.901944]
area_under_roc_curve
0.9785277777777776 [0.999722,0.998333,1,0.993611,0.999722,0.996389,0.899583,0.993056,0.997222,0.907639]
area_under_roc_curve
0.973611111111111 [1,0.998611,0.996944,0.993333,0.999722,0.99,0.881528,0.998611,1,0.877361]
area_under_roc_curve
0.9767500000000001 [1,0.999167,1,1,1,0.998333,0.89125,1,0.998611,0.880139]
area_under_roc_curve
0.9720555555555555 [1,1,0.996944,0.979167,1,0.980556,0.880556,1,1,0.883333]
area_under_roc_curve
0.975 [0.999722,0.998333,0.999444,0.999167,0.989722,0.990556,0.885139,0.998889,0.997778,0.89125]
area_under_roc_curve
0.980111111111111 [1,0.999167,0.999722,0.998889,0.996667,0.997778,0.90125,1,1,0.907639]
area_under_roc_curve
0.9716111111111111 [1,0.994722,0.998056,0.992778,0.997778,0.990833,0.870694,0.998611,0.998889,0.87375]
area_under_roc_curve
0.9730555555555556 [0.990556,0.997778,0.9975,0.977222,0.995556,0.986111,0.890278,0.999444,0.998889,0.897222]
area_under_roc_curve
0.9714722222222224 [0.999444,1,0.997778,0.995,0.993611,0.976667,0.879861,1,0.999167,0.873194]
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
0.8023439337097277 [0.95,0.930233,0.95,0.888889,1,0.8,0.263158,0.97561,0.947368,0.318182]
f_measure
0.8098223983974947 [0.97561,0.952381,1,0.871795,0.974359,0.904762,0.285714,0.947368,0.923077,0.263158]
f_measure
0.7948577356972139 [1,0.947368,0.930233,0.820513,0.97561,0.947368,0.222222,0.947368,1,0.157895]
f_measure
0.8302320764387516 [0.974359,0.97561,1,0.974359,1,0.95,0.285714,0.974359,0.904762,0.263158]
f_measure
0.8128526144176323 [1,0.97561,0.974359,0.842105,0.974359,0.809524,0.382979,0.947368,1,0.222222]
f_measure
0.8109356868586052 [0.97561,0.926829,0.95,0.926829,0.918919,0.842105,0.341463,0.930233,0.947368,0.35]
f_measure
0.8330199795925085 [1,0.97561,0.974359,0.9,0.9,0.926829,0.263158,1,1,0.390244]
f_measure
0.7756853252296128 [0.97561,0.95,0.894737,0.878049,0.926829,0.923077,0.181818,0.947368,0.888889,0.190476]
f_measure
0.7639287982453041 [0.923077,0.923077,0.923077,0.837209,0.878049,0.871795,0.111111,0.926829,0.952381,0.292683]
f_measure
0.7870177211448071 [0.974359,1,0.926829,0.894737,0.926829,0.85,0.238095,0.97561,0.97561,0.108108]
kappa
0.7777777777777778
kappa
0.788888888888889
kappa
0.7666666666666667
kappa
0.8111111111111111
kappa
0.788888888888889
kappa
0.788888888888889
kappa
0.8166666666666667
kappa
0.7388888888888889
kappa
0.7444444444444445
kappa
0.7666666666666667
kb_relative_information_score
0.8101830404463735
kb_relative_information_score
0.8175941356590678
kb_relative_information_score
0.7921918663046749
kb_relative_information_score
0.838992806491136
kb_relative_information_score
0.8047088436819557
kb_relative_information_score
0.8036302714606001
kb_relative_information_score
0.8387338140397709
kb_relative_information_score
0.7740128926960892
kb_relative_information_score
0.7707448154705143
kb_relative_information_score
0.8026285044921049
mean_absolute_error
0.039595009596628275
mean_absolute_error
0.0387989234952928
mean_absolute_error
0.04325559964098408
mean_absolute_error
0.034588788458942435
mean_absolute_error
0.040727809286653135
mean_absolute_error
0.040508869112629096
mean_absolute_error
0.03536922093369697
mean_absolute_error
0.04629860417503446
mean_absolute_error
0.04569217735926591
mean_absolute_error
0.040544898061077986
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8091390614216702 [0.95,0.869565,0.95,1,1,0.8,0.277778,0.952381,1,0.291667]
precision
0.811771853877117 [0.952381,0.909091,1,0.894737,1,0.863636,0.272727,1,0.947368,0.277778]
precision
0.8030718099596819 [1,1,0.869565,0.842105,0.952381,1,0.2,1,1,0.166667]
precision
0.8316522366522366 [1,0.952381,1,1,1,0.95,0.272727,1,0.863636,0.277778]
precision
0.8197330447330448 [1,0.952381,1,0.888889,1,0.772727,0.333333,1,1,0.25]
precision
0.8153692201518288 [0.952381,0.904762,0.95,0.904762,1,0.888889,0.333333,0.869565,1,0.35]
precision
0.8315873015873017 [1,0.952381,1,0.9,0.9,0.904762,0.277778,1,1,0.380952]
precision
0.7904583428267636 [0.952381,0.95,0.944444,0.857143,0.904762,0.947368,0.166667,1,1,0.181818]
precision
0.7601160757625288 [0.947368,0.947368,0.947368,0.782609,0.857143,0.894737,0.125,0.904762,0.909091,0.285714]
precision
0.7853649944826415 [1,1,0.904762,0.944444,0.904762,0.85,0.227273,0.952381,0.952381,0.117647]
predictive_accuracy
0.8
predictive_accuracy
0.81
predictive_accuracy
0.79
predictive_accuracy
0.83
predictive_accuracy
0.81
predictive_accuracy
0.81
predictive_accuracy
0.835
predictive_accuracy
0.765
predictive_accuracy
0.77
predictive_accuracy
0.79
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.8 [0.95,1,0.95,0.8,1,0.8,0.25,1,0.9,0.35]
recall
0.81 [1,1,1,0.85,0.95,0.95,0.3,0.9,0.9,0.25]
recall
0.79 [1,0.9,1,0.8,1,0.9,0.25,0.9,1,0.15]
recall
0.83 [0.95,1,1,0.95,1,0.95,0.3,0.95,0.95,0.25]
recall
0.81 [1,1,0.95,0.8,0.95,0.85,0.45,0.9,1,0.2]
recall
0.81 [1,0.95,0.95,0.95,0.85,0.8,0.35,1,0.9,0.35]
recall
0.835 [1,1,0.95,0.9,0.9,0.95,0.25,1,1,0.4]
recall
0.765 [1,0.95,0.85,0.9,0.95,0.9,0.2,0.9,0.8,0.2]
recall
0.77 [0.9,0.9,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3]
recall
0.79 [0.95,1,0.95,0.85,0.95,0.85,0.25,1,1,0.1]
relative_absolute_error
0.219972275536824
relative_absolute_error
0.2155495749738491
relative_absolute_error
0.24030888689435626
relative_absolute_error
0.19215993588301372
relative_absolute_error
0.22626560714807323
relative_absolute_error
0.22504927284793969
relative_absolute_error
0.19649567185387226
relative_absolute_error
0.2572144676390806
relative_absolute_error
0.2538454297736998
relative_absolute_error
0.2252494336726557
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.17920690668130582
root_mean_squared_error
0.1773388028152618
root_mean_squared_error
0.18946638425196657
root_mean_squared_error
0.1650370221592356
root_mean_squared_error
0.18401721241066119
root_mean_squared_error
0.18385195304085855
root_mean_squared_error
0.16330499637486
root_mean_squared_error
0.19521633099194857
root_mean_squared_error
0.20068233895401077
root_mean_squared_error
0.18393559914296914
root_relative_squared_error
0.5973563556043531
root_relative_squared_error
0.5911293427175397
root_relative_squared_error
0.6315546141732223
root_relative_squared_error
0.5501234071974523
root_relative_squared_error
0.6133907080355376
root_relative_squared_error
0.6128398434695288
root_relative_squared_error
0.5443499879162004
root_relative_squared_error
0.6507211033064957
root_relative_squared_error
0.668941129846703
root_relative_squared_error
0.6131186638098975
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
11364.554295000744
usercpu_time_millis
11522.31645899974
usercpu_time_millis
11640.751818000354
usercpu_time_millis
11459.096173000034
usercpu_time_millis
11477.740533000542
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
11832.838979998996
usercpu_time_millis
11484.77551399992
usercpu_time_millis
11540.710768998906
usercpu_time_millis_testing
162.67135799989774
usercpu_time_millis_testing
160.0834870005201
usercpu_time_millis_testing
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usercpu_time_millis_testing
157.20224199958466
usercpu_time_millis_testing
157.56675400007225
usercpu_time_millis_testing
191.49278500026412
usercpu_time_millis_testing
189.44421699961822
usercpu_time_millis_testing
192.22507999984373
usercpu_time_millis_testing
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usercpu_time_millis_testing
187.01505899935
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
11415.950059890747
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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