Run
23368

Run 23368

Task 14 (Supervised Classification) mfeat-fourier 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)_I20
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
0.9629
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7837
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7611
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1583.3118
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0459
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7847
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2549
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1857
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6191
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
905.7822[540.5146083145181994.0443443633048460.24082702844044866.0191750732781668.092074237556]