10418895
10580
Thomas Fan
9910
Supervised Classification
17373
sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8255505
l2_regularization
0.0
17372
learning_rate
0.1
17372
loss
"auto"
17372
max_bins
255
17372
max_depth
null
17372
max_iter
100
17372
max_leaf_nodes
31
17372
min_samples_leaf
20
17372
n_iter_no_change
null
17372
random_state
145
17372
scoring
null
17372
tol
1e-07
17372
validation_fraction
0.1
17372
verbose
0
17372
warm_start
false
17372
aggressive_elimination
false
17373
cv
5
17373
error_score
NaN
17373
force_exhaust_resources
false
17373
max_resources
"auto"
17373
min_resources
"auto"
17373
n_candidates
100
17373
n_jobs
3
17373
param_distributions
{"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "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]}
17373
pre_dispatch
"2*n_jobs"
17373
random_state
0
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ratio
3
17373
refit
{"oml-python:serialized_object": "function", "value": "sklearn.model_selection._search_successive_halving._refit_callable"}
17373
resource
"n_samples"
17373
return_train_score
true
17373
scoring
null
17373
verbose
1
17373
openml-python
Sklearn_0.23.dev0.
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
21760252
description
https://api.openml.org/data/download/21760252/description.xml
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21760253
predictions
https://api.openml.org/data/download/21760253/predictions.arff
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21760254
trace
https://api.openml.org/data/download/21760254/trace.arff
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0.8396752337184284 [0.839675,0.839675]
average_cost
0
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0.5670647026502248
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0.37100782874961497
mean_absolute_error
0.3291951100253537
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7861485291423957 [0.785402,0.786778]
predictive_accuracy
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0.8130065241613894
total_cost
0
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.8809912854030503 [0.880991,0.880991]
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area_under_roc_curve
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0
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0
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0
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f_measure
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f_measure
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f_measure
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0.8142762839208953 [0.783699,0.839907]
f_measure
0.7787174017378099 [0.758017,0.796069]
f_measure
0.744 [0.719298,0.764706]
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.5453483943203744
kb_relative_information_score
0.24194943662903268
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
376 [172,204]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
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375 [172,203]
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375 [172,203]
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375 [172,203]
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375 [171,204]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
precision
0.7817215704469631 [0.777778,0.785047]
precision
0.7851456162044397 [0.797386,0.774775]
precision
0.785111111111111 [0.8125,0.761905]
precision
0.8078049230414481 [0.801205,0.813397]
precision
0.8082511627906976 [0.8125,0.804651]
precision
0.7818489416780875 [0.755682,0.80402]
precision
0.7801699779249448 [0.794702,0.767857]
precision
0.81889724967258 [0.844595,0.797357]
precision
0.7787792416084317 [0.755814,0.79803]
precision
0.744 [0.719298,0.764706]
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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recall
0.7819148936170213 [0.732558,0.823529]
recall
0.784 [0.709302,0.847291]
recall
0.7813333333333333 [0.680233,0.866995]
recall
0.808 [0.773256,0.837438]
recall
0.808 [0.755814,0.852217]
recall
0.7813333333333333 [0.773256,0.788177]
recall
0.7786666666666666 [0.697674,0.847291]
recall
0.816 [0.730994,0.887255]
recall
0.7786666666666666 [0.760234,0.794118]
recall
0.744 [0.719298,0.764706]
relative_absolute_error
0.7582591746216876
relative_absolute_error
0.7709355262150004
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_squared_error
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root_relative_squared_error
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total_cost
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wall_clock_time_millis
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