DEVELOPMENT... OpenML
Run
121888

Run 121888

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.6333
Per class
Build CPU time
13.376
Build memory
1343021704
F measure
0.6471
Per class
Kappa
0.1818
KB relative information score
1.9039
Mean absolute error
0.1875
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7139
Per class
Predictive accuracy
0.625
Prior entropy
1.3842
Recall
0.625
Per class
Relative absolute error
0.8337
Root mean prior squared error
0.3095
Root mean squared error
0.433
Root relative squared error
1.3991
SciMark benchmark
931.6517