DEVELOPMENT... OpenML
Run
119517

Run 119517

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)_I10
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
0.8961
Per class
Build CPU time
8.3052
Build memory
121370132
F measure
0.8463
Per class
Kappa
0.6888
KB relative information score
478.4257
Mean absolute error
0.1505
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
0.8463
Per class
Predictive accuracy
0.8464
Prior entropy
0.9913
Recall
0.8464
Per class
Relative absolute error
0.3048
Root mean prior squared error
0.497
Root mean squared error
0.3705
Root relative squared error
0.7456
SciMark benchmark
920.2874