DEVELOPMENT... OpenML
Run
121026

Run 121026

Task 3799 (Supervised Classification) fri_c3_500_10 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)_I40
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
0.9498
Per class
Build CPU time
10.4953
Build memory
62086586.4
F measure
0.912
Per class
Kappa
0.8228
KB relative information score
411.38
Mean absolute error
0.0878
Mean prior absolute error
0.4961
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
0.9121
Per class
Predictive accuracy
0.912
Prior entropy
0.9945
Recall
0.912
Per class
Relative absolute error
0.1769
Root mean prior squared error
0.4981
Root mean squared error
0.2903
Root relative squared error
0.5829
SciMark benchmark
923.3659