Run
19656

Run 19656

Task 10 (Supervised Classification) lymph Uploaded 16-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I10
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8855
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7695
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.577
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.0689
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1102
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)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7563
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7838
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7838
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4117
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.307
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8434
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.7281[526.80178445365061013.6533323510344475.107003774767898.06100736794291760.017229859821]