Run
20990

Run 20990

Task 40 (Supervised Classification) glass 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_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I20
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.8833
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7523
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6651
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.532
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0704
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.7536
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.757
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.757
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3329
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2572
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7927
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.0255[541.35337489659361009.9344946043965482.14720472367435907.38665814554741749.3060121829703]