Run
7560

Run 7560

Task 20 (Supervised Classification) mfeat-pixel Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I20
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.7121
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0766
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
440.4985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.167
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
0.0614
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.193
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.193
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9275
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2892
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9639
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.9174[565.5773597381044968.5624346130838479.5631016829642911.17132945493631769.7127006129608]