DEVELOPMENT... OpenML
Run
121789

Run 121789

Task 257 (Supervised Classification) colic Uploaded 12-12-2014 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
0.7456
Per class
Build CPU time
105.536
Build memory
1491064728
F measure
0.7424
Per class
Kappa
0.4794
KB relative information score
60.7359
Mean absolute error
0.2562
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7435
Per class
Predictive accuracy
0.7438
Prior entropy
0.9509
Recall
0.7438
Per class
Relative absolute error
0.5248
Root mean prior squared error
0.505
Root mean squared error
0.5061
Root relative squared error
1.0022
SciMark benchmark
931.9671