DEVELOPMENT... OpenML
Run
121220

Run 121220

Task 277 (Supervised Classification) tae Uploaded 11-12-2014 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)_I80
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
0.7633
Per class
Build CPU time
1.433
Build memory
97803704
F measure
0.577
Per class
Kappa
0.3617
KB relative information score
19.8182
Mean absolute error
0.2897
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6021
Per class
Predictive accuracy
0.5714
Prior entropy
1.5845
Recall
0.5714
Per class
Relative absolute error
0.6517
Root mean prior squared error
0.4715
Root mean squared error
0.4953
Root relative squared error
1.0504
SciMark benchmark
939.0159