DEVELOPMENT... OpenML
Run
23665

Run 23665

Task 50 (Supervised Classification) heart-h Uploaded 26-06-2014 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_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)_I160
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
0.7874
Per class
F measure
0.8009
Per class
Kappa
0.565
KB relative information score
153.1991
Mean absolute error
0.0797
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8004
Per class
Predictive accuracy
0.8027
Prior entropy
1.0314
Recall
0.8027
Per class
Relative absolute error
0.4266
Root mean prior squared error
0.3037
Root mean squared error
0.2812
Root relative squared error
0.9257
SciMark benchmark
945.273[568.34168678655021014.9881073746852474.05817848535908.95975824819551760.0170946291457]