DEVELOPMENT... OpenML
Run
121690

Run 121690

Task 3898 (Supervised Classification) kc1-top5 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
0.5931
Per class
Build CPU time
12.2646
Build memory
64724154.7034
F measure
0.9085
Per class
Kappa
0.1714
KB relative information score
-39.1039
Mean absolute error
0.0967
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9139
Per class
Predictive accuracy
0.9034
Prior entropy
0.3323
Recall
0.9034
Per class
Relative absolute error
0.8818
Root mean prior squared error
0.2284
Root mean squared error
0.3107
Root relative squared error
1.3605
SciMark benchmark
925.7673