DEVELOPMENT... OpenML
Run
20799

Run 20799

Task 4 (Supervised Classification) labor Uploaded 18-06-2014 by Felicia West
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
0.8899
Per class
F measure
0.8778
Per class
Kappa
0.7335
KB relative information score
40.3407
Mean absolute error
0.1285
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8791
Per class
Predictive accuracy
0.8772
Prior entropy
0.9393
Recall
0.8772
Per class
Relative absolute error
0.2812
Root mean prior squared error
0.4773
Root mean squared error
0.3511
Root relative squared error
0.7356
SciMark benchmark
927.9988[563.3852276211746952.9946411086055470.11460139062484903.63322279127081749.8664669073971]