DEVELOPMENT... OpenML
Run
110369

Run 110369

Task 3495 (Supervised Classification) SPECT Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.7247
Per class
Build CPU time
3.7695
Build memory
52504590.9513
F measure
0.7978
Per class
Kappa
0.3817
KB relative information score
55.5985
Mean absolute error
0.2236
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
0.7978
Per class
Predictive accuracy
0.7978
Prior entropy
0.738
Recall
0.7978
Per class
Relative absolute error
0.6807
Root mean prior squared error
0.4044
Root mean squared error
0.4231
Root relative squared error
1.0463
SciMark benchmark
942.5053