DEVELOPMENT... OpenML
Run
110360

Run 110360

Task 3539 (Supervised Classification) prnn_crabs 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
0.97
Per class
Build CPU time
0.0139
Build memory
824971418.4
F measure
0.97
Per class
Kappa
0.94
KB relative information score
186.5055
Mean absolute error
0.0352
Mean prior absolute error
0.5
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9702
Per class
Predictive accuracy
0.97
Prior entropy
1
Recall
0.97
Per class
Relative absolute error
0.0703
Root mean prior squared error
0.5
Root mean squared error
0.1723
Root relative squared error
0.3447
SciMark benchmark
916.1588