DEVELOPMENT... OpenML
Run
16410

Run 16410

Task 2078 (Supervised Classification) braziltourism Uploaded 04-06-2014 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_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I160
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

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
0.6078
Per class
F measure
0.703
Per class
Kappa
0.1796
KB relative information score
22.7729
Mean absolute error
0.0971
Mean prior absolute error
0.1103
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6863
Per class
Predictive accuracy
0.7233
Prior entropy
1.1781
Recall
0.7233
Per class
Relative absolute error
0.8801
Root mean prior squared error
0.2325
Root mean squared error
0.2601
Root relative squared error
1.1189
SciMark benchmark
947.4882[566.12807181085051015.2555353338006483.6674820550281911.80521739130441760.5845701777503]