Run
24635

Run 24635

Task 18 (Supervised Classification) mfeat-morphological Uploaded 14-07-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(1)_I10
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_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
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7209
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1344.1651
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.085
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7222
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7235
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7235
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1931
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6436
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.9239[345.39417309332464903.4013600785152242.92803649393124526.3935722810922961.5022957581194]