Run
8886048

Run 8886048

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Markus Gerlofsma
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, rf=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_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.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,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

0.8487 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
0.4458 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
0.3892 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
5931.1233 ± 8.8996
Cross-validation details (10-fold Crossvalidation)
0.1544 ± 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)
0.4457 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
0.4503 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.4503 ± 0.0101
Per class
Cross-validation details (10-fold Crossvalidation)
0.8578 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2698 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.8992 ± 0.0028
Cross-validation details (10-fold Crossvalidation)