DEVELOPMENT... OpenML
Run
122011

Run 122011

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.9146
Per class
Build CPU time
18.7044
Build memory
1317584996.8
F measure
0.8997
Per class
Kappa
0.7956
KB relative information score
198.8274
Mean absolute error
0.0998
Mean prior absolute error
0.4919
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
0.9001
Per class
Predictive accuracy
0.9
Prior entropy
0.9883
Recall
0.9
Per class
Relative absolute error
0.203
Root mean prior squared error
0.4959
Root mean squared error
0.3157
Root relative squared error
0.6367
SciMark benchmark
942.0692

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