DEVELOPMENT... OpenML
Run
121513

Run 121513

Task 3693 (Supervised Classification) fri_c4_100_100 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
0.6156
Per class
Build CPU time
10.8578
Build memory
2480665896.8
F measure
0.5897
Per class
Kappa
0.176
KB relative information score
16.2166
Mean absolute error
0.4174
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5895
Per class
Predictive accuracy
0.59
Prior entropy
0.9975
Recall
0.59
Per class
Relative absolute error
0.8377
Root mean prior squared error
0.4991
Root mean squared error
0.6406
Root relative squared error
1.2835
SciMark benchmark
924.2473