Run
22915

Run 22915

Task 3 (Supervised Classification) kr-vs-kp Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.948
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9478
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8953
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2860.2863
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0524
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
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
0.9478
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9477
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.105
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2284
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4573
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.6006[557.26540226468411013.1204302006943473.6399836662232908.95983339136731760.017229859821]