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Then, it calculates the Gini index to determine the best split points for every property.
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In the Map phase, the histogram and block histogram that were obtained in the Reduce phase are used to calculate the best split point of each available property.
The algorithm for calculating the best split point is similar to the SPRINT algorithm and involves scanning the property list of the continuous property calculation split point or the discrete property technology matrix.
The SPRINT algorithm uses the property list and the histogram to help calculate the best split point and split property (shown in Table 1).
In the Reduce phase, we need to collect the results of Map phase to select the best split point and split property.
This algorithm uses MapReduce technology to realize the parallel processing of the best split point, thereby improving the efficiency of the algorithm.
All possible splits for each predictor are evaluated and the best split for single predictor is chosen.
The optimum split-points for the factors sometimes differed depending on the time interval studied.
Instead, a hash table (shown in Fig. 4) should be produced from the node's best split property and its split-point information before dividing other property lists.
The split with the minimum Gini index is the best split of set T. The inputs for calculating the Gini index are the histogram and the counting matrix.
bBased on the indicator variable chosen for the best split.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com