DEVELOPMENT... OpenML
Run
120055

Run 120055

Task 27 (Supervised Classification) colic 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)_I20
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
0.8518
Per class
Build CPU time
16.2039
Build memory
1242636913.2174
F measure
0.8396
Per class
Kappa
0.6554
KB relative information score
234.1502
Mean absolute error
0.1651
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8394
Per class
Predictive accuracy
0.8397
Prior entropy
0.9509
Recall
0.8397
Per class
Relative absolute error
0.3541
Root mean prior squared error
0.4827
Root mean squared error
0.3956
Root relative squared error
0.8196
SciMark benchmark
924.6733