DEVELOPMENT... OpenML
Run
15532

Run 15532

Task 51 (Supervised Classification) trains Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I80
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.56
Per class
F measure
0.4949
Per class
KB relative information score
0.2556
Mean absolute error
0.4838
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5
Per class
Predictive accuracy
0.5
Prior entropy
1
Recall
0.5
Per class
Relative absolute error
0.9675
Root mean prior squared error
0.5
Root mean squared error
0.6857
Root relative squared error
1.3714
SciMark benchmark
939.683[546.78388987861271013.919993711725481.71462303608115903.32186243855711752.6744042525834]