DEVELOPMENT... OpenML
Run
21718

Run 21718

Task 2073 (Supervised Classification) yeast Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I40
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.7268
Per class
F measure
0.5496
Per class
Kappa
0.4326
KB relative information score
63.5008
Mean absolute error
0.1748
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5981
Per class
Predictive accuracy
0.5714
Prior entropy
2.5035
Recall
0.5714
Per class
Relative absolute error
1.1241
Root mean prior squared error
0.2787
Root mean squared error
0.2917
Root relative squared error
1.0465
SciMark benchmark
937.8554[552.84965319085751003.3610871184861470.93940240073874905.5060508708661756.6205822745662]