I ran a decision tree, clustering and neural network mining model across a dataset of about 200,000 records. I am trying to evaluate the accuracy of each of my models but I can't view the results.
I get the following error:
Failed to execute the query due to the following error:
XML for Analysis parser: The XML for Analysis request timed out before it was completed.
Execution of the managed stored procedure GenerateLiftTableUsingDatasource failed with the following error: Exception has been thrown by the target of an invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.
Hi, I am not getting Mining Accuracy Chart and Min ing Model Prediction Plz tel me how to do.And how to use the filter input data used to generate the lift chart and select predictable mining model columns to show in the lift chart
In the Mining Accuracy Chart, the predictable columns of nested tables does not show up in the "Select predictable mining model columns to show in the lift chart" table. The "Predictable column name" is empty.
Predictable columns in the case table shows up, but not the predictable columns in the nested table. What am I missing?
Hi All I have installed SP2 for SQL server 2005, i just want to try datamining like in the tutorial, i found error if i click "Mining Accuracy Chart" for comparing model with error
"TITLE: Microsoft Visual Studio An error prevented the view from loading. ADDITIONAL INFORMATION: Class not registered (Exception from HRESULT: 0x80040154 (REGDB_E_CLASSNOTREG)) (System.Windows.Forms) " any body can help.
I just found that I am not able to view the accuracy chart for my mining model. The error message is: no mining models are selected for comparision. Which is quite strange.
I've created models with Decision Tree and Neural Network algorithms that predict continous target. But I don't know how to interpret scores that occure under scatter accuracy plot. How should I interpret scores under scatter accuracy plot? How can I estimate occuracy of model created with Time Series? How can I compare accuracy of model created with Time Series with models created with Decision Trees and Neural Network algorithms?
I have a problem getting information about accuracy (percentage of the right predictions) of the model using DMX. Is it possible to get information about accuracy of the model using DMX? I didn't find any useful function... My second idea was to build and process the model. And then compare states of the predictable columns of the test data to states that the model predicts on the same data. And count them. That would be the way to get percantage of the right predictions... The problem is that usage of the function COUNT is not allowed??? I tried:SELECT COUNT(*) FROM [My Model Name].Cases and it didn't work like in standard SQL... Is it possible to count rows in DMX? Any idea how to get accuracy (percentage) of the model? I would need this information in my application... Thanx for any idea, Ziga
Hi, I have just run a simple data set through a model to predict a simple true or false value (i.e. binary output) The Lift Chart/Mining Legend in Analysis Services shows three results €“ Score, Population Correct (%), and Predict Probability (%)
Population Correct I beleive is the percentage of predictions it got right out of the total number of predictions it tried to make. Is this correct?
However, I can€™t work out how the other two are derived in particular the 'SCORE'. To give a live example the scores were as follows:
Model Score Pop Correct Pred Probability Decision Trees 0.83 76.59% 54.28% Neural Network 0.75 67.63% 50.05% Ideal Model 100.00%
Can anyone help with this and give a detailed explanation?
I am having trouble really understanding what makes a model accurate and effective at predicting some attribute. I can't seem to find any clear documentation about the mining legend of the lift chart on the Mining Accuracy Chart tab when working with the Data Mining Structure designer in VS 2005. Specifically, I would like to know more about what numbers in the Score, Population Correct and Predict Probability columns mean, and why they change when you move the vertical gray bar on the Lift Chart. Also, what is generally a good score to be aiming for, provided that it is highly difficult to get 100% accuracy with the kind of data that I am using.
Any more information on this subject is much appreciated. Thank you for your time,
Hello . Because of my graduation project , I interested in data mining application , Adventureworks DW on MS VS 2005 . I opened File->Open->project/solution ->Enterprise -> AdventureworksDW .then I successfully deployed the algorithms decision tree and Clustering . Then I opened tab Mining Accuracy Chart then selected input table "testing" , which I had created before , from vTargetMail . After that , mining structure table and target mail table has automaticaly linked each other .Next , I selected predictive input as 1 , of the predictable row "BikeBuyer" . But , when I clicked "Lift Chart ", I only got a 45 degree line , everytime .. How can I fix it ?
Hi,I am studying data mining features of SSAS and for a workshop I'vecreated 2 views derived from vTargetMail view of AdventureWorksDW.Train data consists every record except those in Pacific, and testview consists only records from Pacific area.1. I've created a mining structure based on Decision Tree and selectedBikeBuyer as predictable column.2. According to input column suggestions, I've selected Age,Eng.Education, NumberCarsOwned, YearlyIncome, CommuteDistance,NumberChildsatHome and TotalChildren as input columns,3. I've modified no other setting, and deployed project.I can get training results in decision tree browser and dependencynetwork (and both seem to give rather logical results) however, when Itry to browse lift chart or classification matrix I get an emptyclass.matr. and a lift chart of a single 45 degree line.Am I missing a step, or must I do some fine-tuning on (what)parameters?Thanks...
Hi, I am studying data mining features of SSAS and for a workshop I've created 2 views derived from vTargetMail view of AdventureWorksDW. Train data consists every record except those in Pacific, and test view consists only records from Pacific area.
1. I've created a mining structure based on Decision Tree and selected BikeBuyer as predictable column. 2. According to input column suggestions, I've selected Age, Eng.Education, NumberCarsOwned, YearlyIncome, CommuteDistance, NumberChildsatHome and TotalChildren as input columns, 3. I've modified no other setting, and deployed project.
I can get training results in decision tree browser and dependency network (and both seem to give rather logical results) however, when I try to browse lift chart or classification matrix I get an empty class.matr. and a lift chart of a single 45 degree line.
Am I missing a step, or must I do some fine-tuning on (what) parameters?
I am a bit confused for the model evaluation (lift chart), should we map all the columns for both the mining structure and the case table? I mean for those predictive models, we have a predict column, shouldnt we ignore the mapping of the predictive column between the mining structure and the case table? But it seemes we are not allowed to miss the predictive column mapping between the mining structure and the case table.
Why is that? Could any experts here give me some explanation on that?
Hope my question is clear for your help.
Thanks a lot and I am looking forward to hearing from you shortly.
I am wondering where can I store my mining results in data mining engine? For example, I got mining results like accuracy chart, decision trees, and other formats of results based on different mining algorithms I used for my data mining, so where can I actually store the results for reporting service use later? Is it possible to do that in SQL Server 2005?
Thanks a lot for any help and guidance in advance.
Hoping someone will have a solution for this error
Errors in the metadata manager. The data type of the '~CaseDetail ~MG-Fact Voic~6' measure must be the same as its source data type. This is because the aggregate function is not set to count or distinct count.
Is the problem due to the data type of the column used in the mining structure is Long, and the underlying field in the cube has a type of BigInt,or am I barking up the wrong tree?
I am using Microsoft_Time_Series and have set HISTORIC_MODEL_GAP to various values (from 1 to 21). I always get this error: Error (Data mining): The 'HISTORIC_MODEL_GAP' data mining parameter is not valid for the 'My Time Series' model.
In Algorithm Parameters window, this parameters is not there by default, so I have to add it.
I get the following error when I try to load the mining model in the mining model viewer
Query (1, 6) The '[System].[Microsoft].[AnalysisServices].[System].[DataMining].[NeuralNet].[GetAttributeValues]' function does not exist.
I get a similar error when I try to load the Load Mining Accuracy Chart
Failed to execute the query due to the following error:
Query (1, 6) The '[System].[Microsoft].[AnalysisServices].[System].[DataMining].[AllOther].[GenerateLiftTableUsingDatasource]' function does not exist.
Hi , I am a novice Data Mining Programmer. I am using Time series algorithm for forecasting. We are Quite concerned about the accuracy of Prediction output. For Example Our Data is like this
If I write my Prediction Query to predict for 100 th time step.Its giving me out put like
Date Perf 03/01/2015 47.000000115
We are not sure about the accuracy of the values. Is it possible to use trend information as input to my model and make my prediction based on that. I don€™t know how to do that? Can anyone help?
So sorry for posting yet another one of my silly posts about the correct way of doing things!
I am using Stored Procedures to do various things in my database (inserting/deleting/updating) and using SQL Server 2000 SP4
The current situation is that I have a stored procedure which checks certain user details and returns either -1 or 1 as a success indicator to the caller.
Now, obviously if we executed several queries in this stored procedure, performance will be an issue.
However, I have no idea how to balance up the whole "more useful information" vs "general information". What I mean is this:
if we are checking 3 items in a table, I want to return the success value back to the caller - in this case, we could do an IF statement to see if the record exists, if it does, set the return value to 1, else, -1.
But then you may want to be more informative to the user, specifically stating what part of the information they entered is incorrect/invalid. So having this in mind, we would then need to execute, say, 3 queries to return a more specific "error" value.
What should I do in this case?
I want to check the username, password and if the account is activated.
Currently I have this query going on:
IF EXISTS (SELECT [ID] FROM Users WHERE username = @un AND [password] = @pw AND activate = 1)
SET @theResult = 1
ELSE
SET @theResult = -1
firstly, is that the good way of doing things? if not - then what is the better way?
secondly, if we decide that we want a specific detailed return value/error message, it would mean I have to check the results I want using a couple more queries, such as one query to check username, one query to check password and another to check if the account is active or not and then return the appropriate value back to the caller.
is this a good way of doing things? I am confused and stuck!
I am using time series agorithm.I need standard deviation in %. I am using SELECT StudID, PREDICTSTDEV([Perf]) FROM [Stud_Model].This one is giving me the standard deviation like this
I am given a task to test a complex stored procedure that has been recently modified for performance. The stored procedure runs 2 processes based on different parameters provided to it in real time. The procedure has been modified to incresease its performance from 22hours to just 1 minute. One of the two processes that this SP handels have been tested and is thus very accurate. The testing of 2nd process is given to me and I am looking for some great help in how to go about testing it step by step. I can provide more info on the SP and how we increased its performance, if you are interested. I know its a lot to ask but I really need some help. I have limited knowledge in SQL.
When I export the report in excel format the chart is displayed as picture. I want it to be displayed as editable chart.Does Office Writer work in this situation and did anyone use Office Writer to accomplish same type of problem.Is there any other method or product we can use instead of the office writer.
I am trying to model data in analysis services with the Advance Create Mining Model function in the excel addin. I am having trouble creating an association model that works like the Associate button above the Advanced button.
The format of my data is like this
OrderID Product
100 Bike
100 Helmet
100 Shoes
200 Helmet
200 basketball
200 Bat
300 Shoes
300 Socks
The associate button works perfectly since it asks me which column is the transaction id (orderid) and which column I am trying to predict (product). The advanced create mining model asks me to determine what the columns are...
OrderID=key Product=Input+Predict?
When I run the advance create mining model associate, I get a browser that gives me no rules and the support for only one item itemset (each product but no combination of products).
Does anyone know what I have to do to get it to work like the associate button?
I need to create a chart with the following features
1) Bar chart that has data for 3 years (3 series) 2) Line chart that has the same data as per the above points on the bar chart but this is a running total. (3 series) 3) These data points are for the 12 months 4) there should be a secondary axis for the cumulative one
I am getting error messages when trying to run some of the features in the Data Mining addin for Excel. The error message says:
"Could not load file or assembly 'Microsoft.DataWarehouse, version=9.0.242.0, Culture-neutral, PublicKeyToken=89845dcd8080cc91' or one of its dependencies. The system cannot find the file specified."
Some features work fine (ex: highlight exceptions), but others don't (ex: detect categories).
Any clue?
Configuration: - SQL Server with SP2 and hot fix build 3054 - Excel 2007 - Windows XP all in one box
I would like to develop an application that can create Data Mining structures and a mining model in SQL Server 2005 with VB.NET. I tried the code from book Data Mining with SQL server 2005 in chapter 14 but did not work. Any good idea?
Thank you very much for your help. The errors that I can see in the code that you gave in your answer are the following and they are more or less the same as I had previously
I tried the code but initially I have encounter the following problems.
1. In any line that have the declaration As Server, As Database like in Public Function CreateDatabase(ByVal srv As Server, ByVal databaseName As String) As Database gives me the problem that type Database is not declared the same type Server is not declared and it does not give me any option.
2. In addition to that for As DataSource, As RelationalDataSource, As RelationalDataSourceView, As ScalarMiningStructureColumn, As DataSourceViewBinding, gives me the problem that type is not declared.
3. Finally in mc = New MiningModelColumn("Yearly income", Utils.GetSyntacticallyValidID("Yearly income", Type.GetType(MiningModelColumn))) is not accesible in this context because it is 'Private'. I have some more problems but I thing that by solving the above that I referred I will solve the rest.
I perform data mining on all products and a specific product category. Do I need to create 2 data source views, one for all products and the other one for the specific product category? Afterward, I run the Data Mining Wizard 2 times to create 2 mining structures. I also need to add the same mining model (e.g. Bayes, Cluster) to each of these mining structures. Is there any simple way to do it?
i try to process datamining with DMX first i create new mining: CREATE MINING model ForexData ( timeseri DATE KEY, Xhnow TEXT DISCRETE, Muccl TEXT DISCRETE, Change TEXT DISCRETE, XH5be TEXT DISCRETE, XH3be TEXT DISCRETE, XH1be TEXT DISCRETE , XH1ne TEXT DISCRETE PREDICT_only, XH3ne TEXT DISCRETE PREDICT_only, XH5ne TEXT DISCRETE PREDICT_only)Using Microsoft_Association_Rules (Minimum_Probability = 0.4, Minimum_Support = 0.01) after that i use insert into statement:
INSERT INTO mining model ForexData(Change,Muccl,Timeseri ,XH1be,XH1ne,XH3be,XH3ne,XH5be,XH5ne)OPENQUERY([Forex DB],'Select Change,Muccl,Timeseri ,XH1be,XH1ne,XH3be,XH3ne,XH5be,XH5ne FROM dbo.dataprice')
there is the fisrt time i deploy ForexData so, it return an error:
Errors in the OLAP storage engine: An error occurred while the 'timeseri' attribute of the 'ForexData_Structure ~MC-timeseri' dimension from the 'Analysis Services Project1' database was being processed.
i dont know about it, i have read some docs and comments on web but can solve this problem, can you help me? as soon as posible, please
i have create a data source and data source view by BI and it return database is 'Analysis Services Project1'. and data source name: 'Forex DB' ;data source VIEW name: 'Forex DB' ;
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