DEVELOPMENT... OpenML
Run
121432

Run 121432

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8361
Per class
Build CPU time
42.5796
Build memory
1196715486.4
F measure
0.7882
Per class
Kappa
0.5753
KB relative information score
143.4374
Mean absolute error
0.2115
Mean prior absolute error
0.498
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
0.789
Per class
Predictive accuracy
0.788
Prior entropy
0.9971
Recall
0.788
Per class
Relative absolute error
0.4248
Root mean prior squared error
0.499
Root mean squared error
0.4556
Root relative squared error
0.913
SciMark benchmark
937.6343