DEVELOPMENT... OpenML
Run
110354

Run 110354

Task 3594 (Supervised Classification) analcatdata_supreme 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)_I40
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
0.986
Per class
Build CPU time
111.9983
Build memory
754034372.2962
F measure
0.9881
Per class
Kappa
0.9674
KB relative information score
3896.5939
Mean absolute error
0.0127
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9881
Per class
Predictive accuracy
0.9882
Prior entropy
0.7946
Recall
0.9882
Per class
Relative absolute error
0.0349
Root mean prior squared error
0.4269
Root mean squared error
0.1063
Root relative squared error
0.249
SciMark benchmark
916.8903