DEVELOPMENT... OpenML
Run
109158

Run 109158

Task 242 (Supervised Classification) mfeat-factors 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
0.9832
Per class
Build CPU time
0.98
Build memory
137072016
F measure
0.9698
Per class
Kappa
0.9663
KB relative information score
637.232
Mean absolute error
0.0073
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9705
Per class
Predictive accuracy
0.9697
Prior entropy
3.3219
Recall
0.9697
Per class
Relative absolute error
0.0408
Root mean prior squared error
0.3
Root mean squared error
0.0776
Root relative squared error
0.2586
SciMark benchmark
937.5625