DEVELOPMENT... OpenML
Run
23531

Run 23531

Task 31 (Supervised Classification) credit-g Uploaded 26-06-2014 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
0.7701
Per class
F measure
0.7503
Per class
Kappa
0.3854
KB relative information score
391.6213
Mean absolute error
0.2391
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7513
Per class
Predictive accuracy
0.764
Prior entropy
0.8818
Recall
0.764
Per class
Relative absolute error
0.569
Root mean prior squared error
0.4583
Root mean squared error
0.465
Root relative squared error
1.0148
SciMark benchmark
938.2974[552.3244598524069989.450586616758484.3219757802961907.07263143401181758.3172656914378]