Run
8886049

Run 8886049

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Markus Gerlofsma
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Flow

sklearn.pipeline.Pipeline(colorFix=sklearn.preprocessing._function_transfor mer.FunctionTransformer,scaler=sklearn.preprocessing.data.MinMaxScaler,rf=s klearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features0.02
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators200
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state0
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_accept_sparsefalse
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_func{"oml-python:serialized_object": "function", "value": "__main__.my_color_transformer"}
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_inverse_funcnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_validatetrue
sklearn.pipeline.Pipeline(colorFix=sklearn.preprocessing._function_transformer.FunctionTransformer,scaler=sklearn.preprocessing.data.MinMaxScaler,rf=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.801 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3741 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3087 ± 0.01
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4420.0598 ± 7.6104
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1637 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3751 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3779 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3779 ± 0.009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9096 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2805 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9349 ± 0.0022
Cross-validation details (10-fold Crossvalidation)