DEVELOPMENT... OpenML
Run
19038

Run 19038

Task 2075 (Supervised Classification) abalone Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.5551
Per class
F measure
0.2032
Per class
Kappa
0.1103
KB relative information score
636.1005
Mean absolute error
0.055
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2022
Per class
Predictive accuracy
0.2045
Prior entropy
3.6268
Recall
0.2045
Per class
Relative absolute error
0.8894
Root mean prior squared error
0.1757
Root mean squared error
0.2333
Root relative squared error
1.3279
SciMark benchmark
913.7933[557.9784220759545964.6833858321031439.15822221553134902.07841573240931705.0682556277045]