DEVELOPMENT... OpenML
Run
122046

Run 122046

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 13-12-2014 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)_I160
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
0.8081
Per class
Build CPU time
5.7859
Build memory
1673195702.4
F measure
0.7894
Per class
Kappa
0.577
KB relative information score
57.7252
Mean absolute error
0.2104
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
0.7903
Per class
Predictive accuracy
0.79
Prior entropy
0.9975
Recall
0.79
Per class
Relative absolute error
0.4222
Root mean prior squared error
0.4991
Root mean squared error
0.4579
Root relative squared error
0.9174
SciMark benchmark
938.6131