DEVELOPMENT... OpenML
Run
120175

Run 120175

Task 1819 (Supervised Classification) vote Uploaded 10-12-2014 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)_I20
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
0.9728
Per class
Build CPU time
2.8494
Build memory
254518075.8069
F measure
0.951
Per class
Kappa
0.8969
KB relative information score
1947.8307
Mean absolute error
0.0482
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9515
Per class
Predictive accuracy
0.9508
Prior entropy
0.9627
Recall
0.9508
Per class
Relative absolute error
0.1015
Root mean prior squared error
0.4869
Root mean squared error
0.214
Root relative squared error
0.4395
SciMark benchmark
937.9603