DEVELOPMENT... OpenML
Run
120056

Run 120056

Task 29 (Supervised Classification) credit-approval 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
0.8969
Per class
Build CPU time
18.9153
Build memory
1501754132
F measure
0.8534
Per class
Kappa
0.703
KB relative information score
481.2367
Mean absolute error
0.1487
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8534
Per class
Predictive accuracy
0.8536
Prior entropy
0.9913
Recall
0.8536
Per class
Relative absolute error
0.3009
Root mean prior squared error
0.497
Root mean squared error
0.3738
Root relative squared error
0.7521
SciMark benchmark
924.6733