DEVELOPMENT... OpenML
Run
120928

Run 120928

Task 3654 (Supervised Classification) fri_c1_100_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
0.8633
Per class
Build CPU time
1.4967
Build memory
949447465.6
F measure
0.8301
Per class
Kappa
0.6592
KB relative information score
65.2666
Mean absolute error
0.173
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
0.8303
Per class
Predictive accuracy
0.83
Prior entropy
0.9975
Recall
0.83
Per class
Relative absolute error
0.3471
Root mean prior squared error
0.4991
Root mean squared error
0.4053
Root relative squared error
0.8121
SciMark benchmark
902.712