DEVELOPMENT... OpenML
Run
121228

Run 121228

Task 285 (Supervised Classification) vote Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9688
Per class
Build CPU time
9.964
Build memory
285214016
F measure
0.9441
Per class
Kappa
0.8818
KB relative information score
125.5684
Mean absolute error
0.0558
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9441
Per class
Predictive accuracy
0.9441
Prior entropy
0.9627
Recall
0.9441
Per class
Relative absolute error
0.1178
Root mean prior squared error
0.4865
Root mean squared error
0.236
Root relative squared error
0.485
SciMark benchmark
939.0159