Run
20769

Run 20769

Task 2075 (Supervised Classification) abalone Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I80
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.5495
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.193
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
632.4768
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0543
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1829
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2128
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2128
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8786
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3259
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.469[565.21084232176751013.919993711725472.80575397915436909.27509318503251706.1335131639553]