Run
23126

Run 23126

Task 24 (Supervised Classification) mushroom Uploaded 24-06-2014 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_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I10
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9998
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8121.3113
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Number of instances
8124
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
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9999
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4997
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0197
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.0261[558.51447076490831013.6533323510344477.64318000025406893.46966133835541766.8500850997275]