DEVELOPMENT... OpenML
Run
119688

Run 119688

Task 3495 (Supervised Classification) SPECT 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
0.7426
Per class
Build CPU time
2.5102
Build memory
99737174.4419
F measure
0.8008
Per class
Kappa
0.3891
KB relative information score
62.9927
Mean absolute error
0.2173
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
0.8002
Per class
Predictive accuracy
0.8015
Prior entropy
0.738
Recall
0.8015
Per class
Relative absolute error
0.6616
Root mean prior squared error
0.4044
Root mean squared error
0.4072
Root relative squared error
1.0069
SciMark benchmark
939.6298