Run
1816108

Run 1816108

Task 10 (Supervised Classification) lymph Uploaded 14-09-2016 by Casey Davis
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  • NumPy_1.8.2. Python_2.7.6. run_task SciPy_0.13.3. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.17.1. Tue_Sep_13_17.00.54_2016
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Flow

sklearn.ensemble.forest.RandomForestClassifier(12)Flow generated by run_task
sklearn.ensemble.forest.RandomForestClassifier(12)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(12)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(12)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(12)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(12)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(12)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(12)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(12)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(12)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(12)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(12)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(12)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(12)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(12)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(12)_class_weightNone

Result files

xml
Description

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

csv
Predictions

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

17 Evaluation measures

Area under ROC curve
0.9184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6979
Cross-validation details (10-fold Crossvalidation)
KB relative information score
83.5949
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.127
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
0.8505
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8446
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8446
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2454
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6742
Cross-validation details (10-fold Crossvalidation)