5739092
1
Jan van Rijn
3549
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
3773843
bootstrap
true
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class_weight
null
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criterion
"gini"
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max_depth
null
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max_features
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max_leaf_nodes
null
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min_impurity_split
1e-07
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min_samples_leaf
2
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min_samples_split
3
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min_weight_fraction_leaf
0.0
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n_estimators
100
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n_jobs
1
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oob_score
false
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random_state
49580
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verbose
0
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warm_start
false
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axis
0
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categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"mean"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
false
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threshold
0.0
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openml-pimp
openml-python
Sklearn_0.18.1.
study_71
458
analcatdata_authorship
https://www.openml.org/data/download/52570/analcatdata_authorship.arff
-1
12402693
description
https://api.openml.org/data/download/12402693/description.xml
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12402692
predictions
https://api.openml.org/data/download/12402692/predictions.arff
area_under_roc_curve
0.9987884778254114 [0.998989,0.998537,0.997872,0.999143]
average_cost
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kappa
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mean_absolute_error
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mean_prior_absolute_error
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number_of_instances
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precision
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predictive_accuracy
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prior_entropy
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relative_absolute_error
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total_cost
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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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average_cost
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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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kb_relative_information_score
75.77310468913059
kb_relative_information_score
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kb_relative_information_score
75.97162457525947
kb_relative_information_score
73.9740950354654
kb_relative_information_score
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kb_relative_information_score
76.25505141897966
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_absolute_error
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mean_absolute_error
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
84 [32,29,6,17]
number_of_instances
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number_of_instances
84 [31,29,6,18]
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
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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
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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
1
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prior_entropy
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prior_entropy
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recall
0.9647058823529412 [1,0.933333,1,0.941176]
recall
1 [1,1,1,1]
recall
0.9880952380952381 [1,1,1,0.941176]
recall
0.9642857142857143 [0.9375,0.966667,1,1]
recall
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recall
1 [1,1,1,1]
recall
0.9642857142857143 [0.90625,1,1,1]
recall
0.9523809523809523 [0.935484,1,0.666667,1]
recall
0.9880952380952381 [0.967742,1,1,1]
recall
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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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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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usercpu_time_millis
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