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OpenML
Run
122103

Run 122103

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9107
Per class
Build CPU time
35.5168
Build memory
59415660.8
F measure
0.9078
Per class
Kappa
0.8145
KB relative information score
406.459
Mean absolute error
0.0929
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9086
Per class
Predictive accuracy
0.908
Prior entropy
0.9967
Recall
0.908
Per class
Relative absolute error
0.1867
Root mean prior squared error
0.4988
Root mean squared error
0.3033
Root relative squared error
0.608
SciMark benchmark
925.7673