DEVELOPMENT... OpenML
Run
110747

Run 110747

Task 3481 (Supervised Classification) isolet 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
0.9479
Per class
Build CPU time
161.7383
Build memory
413676925.4452
F measure
0.8999
Per class
Kappa
0.8957
KB relative information score
6997.8871
Mean absolute error
0.008
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9011
Per class
Predictive accuracy
0.8997
Prior entropy
4.7004
Recall
0.8997
Per class
Relative absolute error
0.1076
Root mean prior squared error
0.1923
Root mean squared error
0.0877
Root relative squared error
0.4559
SciMark benchmark
908.2898