Run
5574

Run 5574

Task 88 (Learning Curve) credit-approval Uploaded 03-05-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9271 ± 0.0282
Per class
F measure
0.8516 ± 0.0391
Per class
Kappa
0.7002 ± 0.0786
KB relative information score
0.6035 ± 0.052
Mean absolute error
0.2072 ± 0.0241
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8524 ± 0.0386
Per class
Predictive accuracy
0.8513 ± 0.039
Prior entropy
0.9912 ± 0.0021
Recall
0.8513 ± 0.039
Per class
Relative absolute error
0.4195 ± 0.0488
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3221 ± 0.0332
Root relative squared error
0.6482 ± 0.0668
SciMark benchmark
855.4871