DEVELOPMENT... OpenML
Run
20400

Run 20400

Task 4 (Supervised Classification) labor Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I40
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.9155
Per class
F measure
0.8934
Per class
Kappa
0.7635
KB relative information score
42.9226
Mean absolute error
0.1078
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8944
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.236
Root mean prior squared error
0.4773
Root mean squared error
0.3162
Root relative squared error
0.6625
SciMark benchmark
945.4056[555.1370662748691013.6533323510344483.8854846559526908.64471704177161765.707548606275]