Run
2238021

Run 2238021

Task 10 (Supervised Classification) lymph Uploaded 18-05-2017 by Rudolf Kadlec
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(16)Automatically created sub-component.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(16)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_state33309
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startfalse

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
0.8975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6429
Cross-validation details (10-fold Crossvalidation)
KB relative information score
77.6369
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1382
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8176
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8176
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2605
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7158
Cross-validation details (10-fold Crossvalidation)