DEVELOPMENT... OpenML
Run
109470

Run 109470

Task 3756 (Supervised Classification) visualizing_hamster 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
0.5917
Per class
Build CPU time
0.0033
Build memory
372147348.0548
F measure
0.6021
Per class
Kappa
0.196
KB relative information score
13.9144
Mean absolute error
0.4003
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6018
Per class
Predictive accuracy
0.6027
Prior entropy
0.9937
Recall
0.6027
Per class
Relative absolute error
0.8078
Root mean prior squared error
0.4977
Root mean squared error
0.6211
Root relative squared error
1.2479
SciMark benchmark
939.7233