DEVELOPMENT... OpenML
Run
110486

Run 110486

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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
0.939
Per class
Build CPU time
0.0148
Build memory
392372773.9091
F measure
0.9199
Per class
Kappa
0.8294
KB relative information score
217.1509
Mean absolute error
0.0825
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9207
Per class
Predictive accuracy
0.9205
Prior entropy
0.9604
Recall
0.9205
Per class
Relative absolute error
0.1746
Root mean prior squared error
0.486
Root mean squared error
0.2604
Root relative squared error
0.5357
SciMark benchmark
936.1433