Run
22471

Run 22471

Task 38 (Supervised Classification) ecoli Uploaded 22-06-2014 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)_I40
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
0.9445
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8516
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8022
Cross-validation details (10-fold Crossvalidation)
KB relative information score
259.0346
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0349
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8469
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1814
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6013
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.1205[566.4958240211141013.6533323510344483.88543266528814899.29332223166991722.2747798055427]