10437675
10468
Nicolas Hug
3
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260816
l2_regularization
0.0
17370
learning_rate
0.1
17370
loss
"auto"
17370
max_bins
255
17370
max_depth
null
17370
max_iter
100
17370
max_leaf_nodes
31
17370
min_samples_leaf
20
17370
n_iter_no_change
null
17370
random_state
52830
17370
scoring
null
17370
tol
1e-07
17370
validation_fraction
0.1
17370
verbose
0
17370
warm_start
false
17370
cv
null
17374
error_score
NaN
17374
iid
"deprecated"
17374
n_iter
100
17374
n_jobs
null
17374
param_distributions
{"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}
17374
pre_dispatch
"2*n_jobs"
17374
random_state
0
17374
refit
true
17374
return_train_score
false
17374
scoring
null
17374
verbose
0
17374
openml-python
Sklearn_0.23.dev0.
3
kr-vs-kp
https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff
-1
21799524
description
https://api.openml.org/data/download/21799524/description.xml
-1
21799525
predictions
https://api.openml.org/data/download/21799525/predictions.arff
-1
21799526
trace
https://api.openml.org/data/download/21799526/trace.arff
area_under_roc_curve
0.9992013146231816 [0.999201,0.999201]
average_cost
0
f_measure
0.9949937421777222 [0.995207,0.994761]
kappa
0.989967679825847
kb_relative_information_score
0.9856535368159048
mean_absolute_error
0.007929895462354754
mean_prior_absolute_error
0.49901358092237413
weighted_recall
0.9949937421777222 [0.995207,0.994761]
number_of_instances
3196 [1669,1527]
precision
0.9949937421777222 [0.995207,0.994761]
predictive_accuracy
0.9949937421777222
prior_entropy
0.998575539213492
relative_absolute_error
0.01589114157513945
root_mean_prior_squared_error
0.49950623821173523
root_mean_squared_error
0.061847585490357196
root_relative_squared_error
0.12381744362548018
total_cost
0
unweighted_recall
0.9949838399129234 [0.995207,0.994761]
area_under_roc_curve
0.9999608625885484 [0.999961,0.999961]
area_under_roc_curve
0.9992955265938711 [0.999296,0.999296]
area_under_roc_curve
0.9998434503541935 [0.999843,0.999843]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9999606268210094 [0.999961,0.999961]
area_under_roc_curve
0.9993105893476205 [0.999311,0.999311]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [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
0.9968753973843552 [0.996997,0.996743]
f_measure
0.9843818718908512 [0.984802,0.983923]
f_measure
0.9937480419799499 [0.994048,0.993421]
f_measure
0.9968753973843552 [0.996997,0.996743]
f_measure
0.9968753973843552 [0.996997,0.996743]
f_measure
1 [1,1]
f_measure
0.9905911641086907 [0.991045,0.990099]
f_measure
0.9905906048577243 [0.991098,0.990033]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0.9937397292432897
kappa
0.9687329008051279
kappa
0.9874691623918237
kappa
0.9937397292432897
kappa
0.9937397292432897
kappa
1
kappa
0.9811454577693716
kappa
0.9811328194310273
kappa
1
kappa
1
kb_relative_information_score
0.9830774260299886
kb_relative_information_score
0.9574112587921291
kb_relative_information_score
0.9810478466101141
kb_relative_information_score
0.9938127818426189
kb_relative_information_score
0.9919470708817916
kb_relative_information_score
0.9998580481204306
kb_relative_information_score
0.980857232562958
kb_relative_information_score
0.9791503698472307
kb_relative_information_score
0.9937158779753497
kb_relative_information_score
0.9956820246330278
mean_absolute_error
0.009787071894009437
mean_absolute_error
0.023526839370576577
mean_absolute_error
0.0104371247926723
mean_absolute_error
0.0031858540001273284
mean_absolute_error
0.004668323734986194
mean_absolute_error
0.00009736584742557923
mean_absolute_error
0.010050862631822734
mean_absolute_error
0.010595437684960567
mean_absolute_error
0.004018883924751705
mean_absolute_error
0.002918265328842974
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.49909524173611874
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
319 [166,153]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
precision
0.9968952922077922 [1,0.993506]
precision
0.9848694620253164 [1,0.968354]
precision
0.9938239644970415 [0.988166,1]
precision
0.9968952922077922 [1,0.993506]
precision
0.9968952922077922 [1,0.993506]
precision
1 [1,1]
precision
0.9907625530967706 [0.982249,1]
precision
0.9907615710861145 [0.982353,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.996875
predictive_accuracy
0.984375
predictive_accuracy
0.99375
predictive_accuracy
0.996875
predictive_accuracy
0.996875
predictive_accuracy
1
predictive_accuracy
0.9905956112852665
predictive_accuracy
0.9905956112852665
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9988113175509788
prior_entropy
0.9984094255154751
prior_entropy
0.9984094255154751
prior_entropy
0.9984094255154751
relative_absolute_error
0.01961224293098587
relative_absolute_error
0.047145264092364254
relative_absolute_error
0.020914879256194757
relative_absolute_error
0.006384109902308439
relative_absolute_error
0.009354820334678157
relative_absolute_error
0.00019511072091547504
relative_absolute_error
0.020138165607150427
relative_absolute_error
0.021235212448262316
relative_absolute_error
0.00805458504731193
relative_absolute_error
0.00584874226822554
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995879730599906
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_squared_error
0.05364273292524597
root_mean_squared_error
0.10379197630225473
root_mean_squared_error
0.07819744748096683
root_mean_squared_error
0.04062204603520667
root_mean_squared_error
0.03477594549628997
root_mean_squared_error
0.0013250234338747645
root_mean_squared_error
0.07260840045213224
root_mean_squared_error
0.09842023749739823
root_mean_squared_error
0.023124171362946918
root_mean_squared_error
0.01151408125897186
root_relative_squared_error
0.10738826610290891
root_relative_squared_error
0.20778285823032083
root_relative_squared_error
0.15654475155761843
root_relative_squared_error
0.08132193964376373
root_relative_squared_error
0.06961853517307012
root_relative_squared_error
0.0026525861258378624
root_relative_squared_error
0.1453365660654393
root_relative_squared_error
0.19705777247054798
root_relative_squared_error
0.04629939751090334
root_relative_squared_error
0.023053583923711395
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
unweighted_recall
0.9970059880239521 [0.994012,1]
unweighted_recall
0.9850299401197604 [0.97006,1]
unweighted_recall
0.9934640522875817 [1,0.986928]
unweighted_recall
0.9970059880239521 [0.994012,1]
unweighted_recall
0.9970059880239521 [0.994012,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9901960784313726 [1,0.980392]
unweighted_recall
0.9901315789473684 [1,0.980263]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
2379.08992
usercpu_time_millis
2297.127778
usercpu_time_millis
2468.2476850000003
usercpu_time_millis
2318.9469029999987
usercpu_time_millis
2316.3897389999984
usercpu_time_millis
2426.9706739999997
usercpu_time_millis
2357.860404
usercpu_time_millis
2376.1615159999997
usercpu_time_millis
2429.230403000002
usercpu_time_millis
2424.6034219999974
usercpu_time_millis_testing
3.6766379999999543
usercpu_time_millis_testing
3.5734850000004315
usercpu_time_millis_testing
4.002092000000346
usercpu_time_millis_testing
3.6214739999991252
usercpu_time_millis_testing
3.651085999999637
usercpu_time_millis_testing
3.5595330000006697
usercpu_time_millis_testing
3.574056999998021
usercpu_time_millis_testing
3.785223000001281
usercpu_time_millis_testing
3.594161999998846
usercpu_time_millis_testing
3.5928329999990183
usercpu_time_millis_training
2375.413282
usercpu_time_millis_training
2293.5542929999997
usercpu_time_millis_training
2464.245593
usercpu_time_millis_training
2315.3254289999995
usercpu_time_millis_training
2312.7386529999985
usercpu_time_millis_training
2423.411140999999
usercpu_time_millis_training
2354.286347000002
usercpu_time_millis_training
2372.3762929999984
usercpu_time_millis_training
2425.636241000003
usercpu_time_millis_training
2421.010588999998
wall_clock_time_millis
13517.666339874268
wall_clock_time_millis
12113.638401031494
wall_clock_time_millis
12384.717226028442
wall_clock_time_millis
12327.913045883179
wall_clock_time_millis
12545.604467391968
wall_clock_time_millis
12587.579488754272
wall_clock_time_millis
12589.983463287354
wall_clock_time_millis
12525.982141494751
wall_clock_time_millis
12569.690465927124
wall_clock_time_millis
12519.212245941162
wall_clock_time_millis_testing
3.675222396850586
wall_clock_time_millis_testing
3.572225570678711
wall_clock_time_millis_testing
4.004478454589844
wall_clock_time_millis_testing
3.6203861236572266
wall_clock_time_millis_testing
3.650188446044922
wall_clock_time_millis_testing
3.5583972930908203
wall_clock_time_millis_testing
3.576517105102539
wall_clock_time_millis_testing
3.783702850341797
wall_clock_time_millis_testing
3.5965442657470703
wall_clock_time_millis_testing
3.5915374755859375
wall_clock_time_millis_training
13513.991117477417
wall_clock_time_millis_training
12110.066175460815
wall_clock_time_millis_training
12380.712747573853
wall_clock_time_millis_training
12324.292659759521
wall_clock_time_millis_training
12541.954278945923
wall_clock_time_millis_training
12584.021091461182
wall_clock_time_millis_training
12586.406946182251
wall_clock_time_millis_training
12522.19843864441
wall_clock_time_millis_training
12566.093921661377
wall_clock_time_millis_training
12515.620708465576
weighted_recall
0.996875 [0.994012,1]
weighted_recall
0.984375 [0.97006,1]
weighted_recall
0.99375 [1,0.986928]
weighted_recall
0.996875 [0.994012,1]
weighted_recall
0.996875 [0.994012,1]
weighted_recall
1 [1,1]
weighted_recall
0.9905956112852664 [1,0.980392]
weighted_recall
0.9905956112852664 [1,0.980263]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]