DEVELOPMENT... OpenML
Run
120020

Run 120020

Task 3915 (Supervised Classification) kc3 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
0.7226
Per class
Build CPU time
6.8995
Build memory
523913746.5677
F measure
0.879
Per class
Kappa
0.2159
KB relative information score
56.6906
Mean absolute error
0.1096
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8703
Per class
Predictive accuracy
0.893
Prior entropy
0.4551
Recall
0.893
Per class
Relative absolute error
0.6385
Root mean prior squared error
0.2917
Root mean squared error
0.3208
Root relative squared error
1.0999
SciMark benchmark
923.3659