Run
1853843

Run 1853843

Task 10 (Supervised Classification) lymph Uploaded 24-03-2017 by Chris Power
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  • Fri_Mar_24_21.57.45_2017 NumPy_1.11.3. Python_3.6.0. run_task SciPy_0.18.1. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.18.1.
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Flow

sklearn.ensemble.forest.RandomForestClassifier(16)Automatically created sub-component.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(16)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
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_stateNone
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
0.9098
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7783
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5901
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.5098
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1297
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
0.7697
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7905
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7905
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4845
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2563
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7042
Cross-validation details (10-fold Crossvalidation)