DEVELOPMENT... OpenML
Run
22024

Run 22024

Task 14 (Supervised Classification) mfeat-fourier Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(1)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(1)_I40
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8897
Per class
F measure
0.8027
Per class
Kappa
0.7794
KB relative information score
1581.4626
Mean absolute error
0.0405
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8058
Per class
Predictive accuracy
0.8015
Prior entropy
3.3219
Recall
0.8015
Per class
Relative absolute error
0.2249
Root mean prior squared error
0.3
Root mean squared error
0.1987
Root relative squared error
0.6624
SciMark benchmark
932.6191[567.78666173126961014.9881711071126474.686957266523894.68947221284181710.9440737619698]

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