search query: @indexterm DECISION TREES / total: 35
reference: 8 / 35
| Author: | Curram, S. Mingers, J. |
| Title: | Neural networks, decision tree induction and discriminant analysis: an empirical comparison |
| Journal: | Journal of the Operational Research Society
1994 : APR, VOL. 45:4, p. 440-450 |
| Index terms: | DECISION TREES NEURAL NETWORKS METHODOLOGY |
| Language: | eng |
| Abstract: | This paper presents an empirical comparison of three classification methods: neural networks, decision tree induction and linear discriminant analysis. The comparison is based on seven datasets with different characteristics. Four of them are real and three artificially created. Analysis of variance was used to detect any significant differences between the performance of the methods. There is also some discussion of the problems involved with using neural networks and, in particular, on overfitting of the training data. |
SCIMA