DEVELOPMENT... OpenML
Run
121055

Run 121055

Task 3837 (Supervised Classification) hayes-roth 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)_I40
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
0.8866
Per class
Build CPU time
1.1457
Build memory
1220714367.3939
F measure
0.8014
Per class
Kappa
0.5785
KB relative information score
76.2786
Mean absolute error
0.1963
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8013
Per class
Predictive accuracy
0.803
Prior entropy
0.9635
Recall
0.803
Per class
Relative absolute error
0.4137
Root mean prior squared error
0.4869
Root mean squared error
0.3768
Root relative squared error
0.7738
SciMark benchmark
945.5885