DEVELOPMENT... OpenML
Run
116188

Run 116188

Task 3735 (Supervised Classification) pollen Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.4972
Per class
Build CPU time
1.1162
Build memory
415884804.8524
F measure
0.4977
Per class
Kappa
-0.0021
KB relative information score
-1.2995
Mean absolute error
0.5001
Mean prior absolute error
0.5
Number of instances
3848
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.499
Per class
Predictive accuracy
0.499
Prior entropy
1
Recall
0.499
Per class
Relative absolute error
1.0002
Root mean prior squared error
0.5
Root mean squared error
0.5046
Root relative squared error
1.0093
SciMark benchmark
920.7965