Run
7337

Run 7337

Task 10 (Supervised Classification) lymph 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)_I10
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
0.7888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7367
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5178
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.0706
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2506
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
0.7285
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9359
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9007
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4145[558.51447076490831014.4538012229739483.2321174670136910.85475360997441760.017229859821]