Run
1293

Run 1293

Task 1711 (Learning Curve) mfeat-factors Uploaded 16-04-2014 by Jan van Rijn
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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.

17 Evaluation measures

Area under ROC curve
0.7227 ± 0.017
Per class
Kappa
0.1078 ± 0.0047
KB relative information score
0.2202 ± 0.008
Mean absolute error
0.167 ± 0.0007
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.197 ± 0.0042
Prior entropy
3.3219
Recall
0.197 ± 0.0042
Per class
Relative absolute error
0.9276 ± 0.0037
Root mean prior squared error
0.3
Root mean squared error
0.2894 ± 0.0011
Root relative squared error
0.9648 ± 0.0037
SciMark benchmark
1162.2567