DEVELOPMENT... OpenML
Run
120810

Run 120810

Task 3495 (Supervised Classification) SPECT 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
0.7554
Per class
Build CPU time
6.3534
Build memory
417940761.8577
F measure
0.8052
Per class
Kappa
0.4046
KB relative information score
69.4925
Mean absolute error
0.2105
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8052
Per class
Predictive accuracy
0.8052
Prior entropy
0.738
Recall
0.8052
Per class
Relative absolute error
0.641
Root mean prior squared error
0.4044
Root mean squared error
0.4031
Root relative squared error
0.9966
SciMark benchmark
943.7751