DEVELOPMENT... OpenML
Run
110214

Run 110214

Task 277 (Supervised Classification) tae 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
0.7216
Per class
Build CPU time
0.304
Build memory
99471952
F measure
0.6142
Per class
Kappa
0.4148
KB relative information score
22.9744
Mean absolute error
0.2585
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6168
Per class
Predictive accuracy
0.6122
Prior entropy
1.5845
Recall
0.6122
Per class
Relative absolute error
0.5816
Root mean prior squared error
0.4715
Root mean squared error
0.4994
Root relative squared error
1.0592
SciMark benchmark
925.481