Run
8886003

Run 8886003

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 15-03-2018 by Mathyn Scheerder
1 likes downloaded by 1 people 0 issues 0 downvotes , 1 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, clf=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_depth15
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features20
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_estimators300
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state3275
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,clf=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

0.8479 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.4323 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.3778 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
5610.4137 ± 9.3692
Cross-validation details (10-fold Crossvalidation)
0.1565 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
20000
Per class
Cross-validation details (10-fold Crossvalidation)
0.436 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
0.4401 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.4401 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.8694 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2716 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.9055 ± 0.0029
Cross-validation details (10-fold Crossvalidation)