10280867
8323
Heinrich Peters
9985
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8155247
l2_regularization
1.0
12677
learning_rate
1.0
12677
loss
"auto"
12677
max_bins
16
12677
max_depth
2
12677
max_iter
150
12677
max_leaf_nodes
32
12677
min_samples_leaf
8
12677
n_iter_no_change
null
12677
random_state
61716
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21483244
description
https://api.openml.org/data/download/21483244/description.xml
-1
21483245
predictions
https://api.openml.org/data/download/21483245/predictions.arff
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average_cost
0
f_measure
0.5260120355016937 [0.403687,0.299652,0.4,0.307404,0.37013,0.749047]
kappa
0.37070876521046336
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0.35528479934649987
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0.18081115944436518
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0.2507645736611627
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precision
0.5185591827958389 [0.40518,0.344,0.431221,0.364444,0.375,0.698005]
predictive_accuracy
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prior_entropy
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relative_absolute_error
0.7210394865770802
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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
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.8225585193838557 [0.775193,0.792674,0.818473,0.780455,0.781393,0.869995]
area_under_roc_curve
0.7142132770717968 [0.672196,0.672509,0.728864,0.637068,0.743416,0.747103]
area_under_roc_curve
0.7271348235471626 [0.675354,0.736197,0.76245,0.581326,0.617002,0.798553]
area_under_roc_curve
0.7679814035804654 [0.691326,0.757512,0.774523,0.6093,0.734475,0.846748]
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.5560226950758164 [0.460177,0.345679,0.486111,0.347826,0.368,0.754221]
f_measure
0.5021112390277296 [0.353488,0.23913,0.379562,0.23301,0.320611,0.761905]
f_measure
0.537580335557413 [0.449761,0.229885,0.493333,0.327586,0.319328,0.751381]
f_measure
0.5410149183881786 [0.35514,0.449438,0.424658,0.415094,0.375,0.743268]
f_measure
0.5519148049798137 [0.386139,0.350515,0.402878,0.333333,0.483871,0.775]
f_measure
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f_measure
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f_measure
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f_measure
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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
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kb_relative_information_score
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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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612 [109,49,75,62,62,255]
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number_of_instances
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number_of_instances
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precision
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precision
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precision
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precision
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precision
0.5367955328966977 [0.361905,0.5,0.43662,0.5,0.42,0.68543]
precision
0.5451839437814023 [0.419355,0.354167,0.4375,0.425,0.483871,0.711475]
precision
0.5431499822614979 [0.435897,0.435897,0.431034,0.377049,0.4,0.71777]
precision
0.4737253281727004 [0.338983,0.25,0.464286,0.285714,0.371429,0.646259]
precision
0.4864194977338117 [0.423077,0.413793,0.4,0.37037,0.222222,0.643963]
precision
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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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prior_entropy
2.2965513970017746
recall
0.5424836601307189 [0.422018,0.166667,0.256757,0.209677,0.460317,0.847656]
recall
0.5637254901960784 [0.477064,0.291667,0.466667,0.322581,0.365079,0.788235]
recall
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recall
0.5490196078431373 [0.431193,0.204082,0.493333,0.306452,0.306452,0.8]
recall
0.553921568627451 [0.348624,0.408163,0.413333,0.354839,0.33871,0.811765]
recall
0.5686274509803921 [0.357798,0.346939,0.373333,0.274194,0.483871,0.85098]
recall
0.5588235294117647 [0.46789,0.346939,0.333333,0.370968,0.322581,0.807843]
recall
0.4934640522875817 [0.366972,0.163265,0.346667,0.196721,0.419355,0.742188]
recall
0.513911620294599 [0.40367,0.25,0.346667,0.163934,0.225806,0.8125]
recall
0.5368248772504092 [0.394495,0.25,0.351351,0.262295,0.396825,0.804688]
relative_absolute_error
0.7028396407651657
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