DEVELOPMENT... OpenML
Run
122110

Run 122110

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 13-12-2014 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)_I160
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
0.7919
Per class
Build CPU time
76.3738
Build memory
42699465.6
F measure
0.7716
Per class
Kappa
0.5339
KB relative information score
132.6577
Mean absolute error
0.2287
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7714
Per class
Predictive accuracy
0.772
Prior entropy
0.9868
Recall
0.772
Per class
Relative absolute error
0.466
Root mean prior squared error
0.4954
Root mean squared error
0.4731
Root relative squared error
0.955
SciMark benchmark
925.7673