Run
23724

Run 23724

Task 52 (Supervised Classification) heart-statlog Uploaded 27-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I10
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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.

19 Evaluation measures

Area under ROC curve
0.8298
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8171
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6285
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.5819
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1849
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
270
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8196
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.8185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4242
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8537
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.6573[553.0249675303628998.9399207242031484.75925509327664910.85475360997441765.7074124997566]