Xlminer demo

XLMiner – a Data Mining Toolkit QuantLink Solutions Pvt. Ltd. www.quantlink.com www.xlminer.com

XLMiner – a quick tour ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner – a quick tour ,[object Object],[object Object],[object Object]

XLMiner Quick Tour Data description ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour A view of the data ,[object Object],The variable labeled as “PersLoan?” is binary: 0 means the customer was not interested in the Personal Loan. 1 means the customer was interested.

XLMiner Quick Tour the Data Mining Process Partition the data into Training & Validation Partitions Fit the Model on Training Partition only Obtain results, see if they look good enough Check if they are good for Validation data too! Study the outputs for validation data Try out several alternative models Choose and deploy the best model

XLMiner Quick Tour Start the analysis ,[object Object],[object Object],[object Object]

XLMiner Quick Tour Step 1: Partition the data ,[object Object],[object Object],[object Object]

XLMiner Quick Tour Partitioned Data ,[object Object],Easy Hyperlinks on the Navigator facilitate viewing of either partition

XLMiner Quick Tour Step 2: Fitting the Model ,[object Object],[object Object],[object Object],We select input (predictor) variables here… … and the outcome variable here

XLMiner Quick Tour Step 2: Fitting the Model ,[object Object],[object Object],[object Object]

XLMiner Quick Tour Step 3: Understanding the Outputs ,[object Object],The Summaries show us the classification error percentages – i.e. how well the model is predicting Other outputs (like the Tree here) will tell us the decision rules that the model is suggesting. Many other diagnostic outputs are available depending on options we choose.

XLMiner Quick Tour Output 1: Validation Summary ,[object Object],In the Training data where we already knew the outcome, 156 “will buy” were predicted correctly, and 38 wrongly. 1801 “Won’t buy” were predicted correctly and merely 5 wrongly. Here are the corresponding error percentages. The errors are not very small but could still indicate a workable model.

XLMiner Quick Tour Output 2: the decision rule ,[object Object],Cut-off points for different variables decide whether to go Left or Right 0: not likely to buy 1: likely to buy

XLMiner Quick Tour the decision rule in table form ,[object Object]

XLMiner Quick Tour Output 3: more details ,[object Object],[object Object]

XLMiner Quick Tour Output 4: the Lift Chart ,[object Object],If customers were targeted randomly, we would expect this outcome. For instance, 1000 mailers would probably yield less than 100 customers. With our Tree model, we get a much superior result. In less than 500 mailers sent to high probability customers , we would get nearly 170 successes!

XLMiner Quick Tour Output 5: the Detailed report ,[object Object],Predicted values can be seen against the actuals here. Probability of success is computed for each record. This is what helps XLMiner suggest selective records (customers) to target.

XLMiner Quick Tour Try several techniques! ,[object Object],[object Object],[object Object]

XLMiner Quick Tour Rich repertoire of techniques! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour Rich repertoire of techniques! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour sample output - Dendrogram ,[object Object],Height of the bars is a measure of dissimilarity in the clusters that are merging into one. Smaller clusters “agglomerate” into bigger ones, with least possible loss of cohesiveness at each stage.

XLMiner Quick Tour sample output – cluster predictions ,[object Object]

XLMiner Quick Tour sample output – BoxPlots ,[object Object],Cluster 2 clearly shows higher Income & Credit Card spend than Cluster 1. This is an excellent aid to characterizing the clusters

XLMiner Quick Tour sample output – Scatter Plots ,[object Object]

XLMiner Quick Tour sample output – Association Rules ,[object Object],Rules are explained in simple English! Each rule tells us which offerings will go well together

XLMiner Quick Tour … and that’s not all! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour XLMiner => Versatility! ,[object Object],[object Object],[object Object]

XLMiner Quick Tour XLMiner => Simplicity! ,[object Object],[object Object],[object Object]

XLMiner Quick Tour XLMiner => Great Value! ,[object Object],[object Object]

XLMiner Quick Tour What others say … ,[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour More Resources ,[object Object],[object Object],[object Object],[object Object],[object Object]

XLMiner Quick Tour Thank you for viewing this Demo! ,[object Object],XLMiner - the Data Mining Toolset for the Managers of Tomorrow

Xlminer demo

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