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diff --git a/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/car.names b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/car.names new file mode 100644 index 00000000..9491039a --- /dev/null +++ b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/car.names @@ -0,0 +1,82 @@ +1. Title: Car Evaluation Database + +2. Sources: + (a) Creator: Marko Bohanec + (b) Donors: Marko Bohanec (marko.bohanec@ijs.si) + Blaz Zupan (blaz.zupan@ijs.si) + (c) Date: June, 1997 + +3. Past Usage: + + The hierarchical decision model, from which this dataset is + derived, was first presented in + + M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for + multi-attribute decision making. In 8th Intl Workshop on Expert + Systems and their Applications, Avignon, France. pages 59-78, 1988. + + Within machine-learning, this dataset was used for the evaluation + of HINT (Hierarchy INduction Tool), which was proved to be able to + completely reconstruct the original hierarchical model. This, + together with a comparison with C4.5, is presented in + + B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by + function decomposition. ICML-97, Nashville, TN. 1997 (to appear) + +4. Relevant Information Paragraph: + + Car Evaluation Database was derived from a simple hierarchical + decision model originally developed for the demonstration of DEX + (M. Bohanec, V. Rajkovic: Expert system for decision + making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates + cars according to the following concept structure: + + CAR car acceptability + . PRICE overall price + . . buying buying price + . . maint price of the maintenance + . TECH technical characteristics + . . COMFORT comfort + . . . doors number of doors + . . . persons capacity in terms of persons to carry + . . . lug_boot the size of luggage boot + . . safety estimated safety of the car + + Input attributes are printed in lowercase. Besides the target + concept (CAR), the model includes three intermediate concepts: + PRICE, TECH, COMFORT. Every concept is in the original model + related to its lower level descendants by a set of examples (for + these examples sets see http://www-ai.ijs.si/BlazZupan/car.html). + + The Car Evaluation Database contains examples with the structural + information removed, i.e., directly relates CAR to the six input + attributes: buying, maint, doors, persons, lug_boot, safety. + + Because of known underlying concept structure, this database may be + particularly useful for testing constructive induction and + structure discovery methods. + +5. Number of Instances: 1728 + (instances completely cover the attribute space) + +6. Number of Attributes: 6 + +7. Attribute Values: + + buying v-high, high, med, low + maint v-high, high, med, low + doors 2, 3, 4, 5-more + persons 2, 4, more + lug_boot small, med, big + safety low, med, high + +8. Missing Attribute Values: none + +9. Class Distribution (number of instances per class) + + class N N[%] + ----------------------------- + unacc 1210 (70.023 %) + acc 384 (22.222 %) + good 69 ( 3.993 %) + v-good 65 ( 3.762 %) |