DEVELOPMENT... OpenML
Run
119868

Run 119868

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 10-12-2014 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)_I10
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
0.839
Per class
Build CPU time
4.3335
Build memory
774347924.8
F measure
0.7837
Per class
Kappa
0.5589
KB relative information score
132.0172
Mean absolute error
0.2318
Mean prior absolute error
0.4908
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
0.7836
Per class
Predictive accuracy
0.784
Prior entropy
0.9868
Recall
0.784
Per class
Relative absolute error
0.4723
Root mean prior squared error
0.4954
Root mean squared error
0.443
Root relative squared error
0.8943
SciMark benchmark
920.2874