DEVELOPMENT... OpenML
Run
24532

Run 24532

Task 11 (Supervised Classification) balance-scale Uploaded 11-07-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I160
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
0.7678
Per class
F measure
0.6138
Per class
Kappa
0.3323
KB relative information score
126.0677
Mean absolute error
0.3246
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5902
Per class
Predictive accuracy
0.64
Prior entropy
1.3212
Recall
0.64
Per class
Relative absolute error
0.8546
Root mean prior squared error
0.4356
Root mean squared error
0.3905
Root relative squared error
0.8964
SciMark benchmark
946.8258[559.41007791153281015.7906865781697483.88543266528814909.90626928802961765.136766288487]