SnapAnalytx

Score Data

With Interactive Form
The Quick and Easy Way
Advanced Option

Interactive Scoring Form

Add / Delete Rows	Claim Adjusted?	Age	Employment	Education	Marital	Occupation	Income	Gender	Deductions	Hours
Add / Delete		38	Private	College	Unmarried	Service	81838	Female	0	72
Add / Delete		35	Private	Associate	Absent	Transport	72099	Male	0	30
Add / Delete		32	Private	HSgrad	Divorced	Clerical	154676.74	Male	0	40
Add / Delete		45	Private	Bachelor	Married	Repair	27743.82	Male	0	55
Add / Delete		60	Private	College	Married	Executive	7568.23	Male	0	40
Add / Delete		74	Private	HSgrad	Married	Service	33144.4	Male	0	30
Add / Delete		43	Private	Bachelor	Married	Executive	43391.17	Male	0	50
Add / Delete		35	Private	Yr12	Married	Machinist	59906.65	Male	0	40
Add / Delete		25	Private	Associate	Divorced	Clerical	126888.91	Female	0	40
Add / Delete		22	Private	HSgrad	Absent	Sales	52466.49	Female	0	37
Add / Delete		48	Private	College	Divorced	Service	291416.11	Female	0	35
Add / Delete		60	Private	Vocational	Widowed	Clerical	24155.31	Male	0	40
Add / Delete		21	Private	College	Absent	Service	143254.86	Female	0	35
Add / Delete		21	Private	College	Absent	Machinist	120554.81	Male	0	40
Add / Delete		50	Private	Master	Married	Executive	34919.16	Male	0	40
Add / Delete		37	Private	HSgrad	Divorced	Executive	67176.79	Male	0	35
Add / Delete		30	Consultant	HSgrad	Divorced	Repair	9608.48	Male	0	40
Add / Delete		32	Private	HSgrad	Married	Machinist	12475.84	Male	0	40
Add / Delete		65	SelfEmp	College	Married	Sales	32963.39	Male	0	40
Add / Delete		28	Private	College	Married	Executive	31534.97	Male	0	55
Add / Delete		40	PSLocal	Vocational	Divorced	Executive	182165.08	Female	0	40
Add / Delete		41	PSState	Bachelor	Divorced	Executive	70603.7	Male	0	40
Add / Delete		30	Private	HSgrad	Absent	Service	88125.97	Male	0	30
Add / Delete		38	Private	HSgrad	Married	Repair	8670.9	Male	0	40
Add / Delete		23	Private	Yr11	Unmarried	Professional	260405.44	Male	0	35
Add / Delete		42	PSState	College	Absent	Executive	66139.36	Female	0	40
Add / Delete		26	Private	Bachelor	Absent	Sales	73751.48	Female	0	40
Add / Delete		32	Consultant	HSgrad	Married	Sales	1428.27	Male	0	60
Add / Delete		49	PSFederal	College	Married	Support	15345.33	Male	0	40
Add / Delete		26	Private	HSgrad	Married	Repair	48114.39	Male	0	40
Add / Delete		28	Private	Yr10	Married	Machinist	33493.89	Male	0	40
Add / Delete		41	PSFederal	Bachelor	Married	Support	54653.36	Male	0	24
Add / Delete		46	Private	HSgrad	Absent	Service	229077.27	Female	0	24
Add / Delete		42	Private	College	Absent	Machinist	59201.06	Female	0	40
Add / Delete		39	Private	College	Divorced	Clerical	31036.73	Female	0	40
Add / Delete		50	Private	Yr11	Absent	Machinist	187250.07	Female	0	40
Add / Delete		47	PSLocal	Doctorate	Absent	Professional	161837.75	Female	0	40
Add / Delete		24	Private	Associate	Unmarried	Repair	193135.59	Male	0	40
Add / Delete		45	Private	Vocational	Married	Repair	26717.49	Male	0	40
Add / Delete		40	PSFederal	Associate	Absent	Clerical	99748.58	Female	0	40
Add / Delete		51	SelfEmp	Doctorate	Married	Professional	13612.07	Male	0	40
Add / Delete		77	Private	HSgrad	Married	Service	39950.92	Male	0	25
Add / Delete		35	Private	College	Married	Support	44130.45	Male	0	45
Add / Delete		39	Private	Yr9	Divorced	Cleaner	78516.3	Male	0	50
Add / Delete		39	PSState	Bachelor	Absent	Executive	92268.68	Female	0	40
Add / Delete		63	SelfEmp	Bachelor	Married	Farming	9092.19	Male	0	40
Add / Delete		64	Private	HSgrad	Widowed	Service	148865.82	Female	0	38
Add / Delete		39	Private	Bachelor	Married	Professional	21190.02	Male	0	40
Add / Delete		66	Private	Yr5t6	Married-spouse-absent	Cleaner	139087.01	Female	0	40
Add / Delete		18	Unemployed	Yr11	Absent	NA	148836.93	Female	0	10

The easiest and quickiest way to score some data is to submit this sample input dataset. The data conforms to the data dictionary for the model type selected above.

Submit Now

Note:

After the uploaded file is scored, it will be returned with an additional column:
Claim Adjusted (the last column in the file). The column will have a 1 or 0. '1'
means the claim has to be adjusted and '0' means there is no need to adjust it.

Submit your own csv file with the data to be scored.

Note:

The csv file must conform to the data specification used for training the model. Therefore, we suggest that you follow these three simple steps:

Step 1: Start with this Sample File as template.

Step 2: Customize with your own data.

Step 3: Upload the file.

Submit Now

Note:

You can directly edit any cell by clicking in it.
After you submit the form the "Claim Adjusted?" column will be filled in with the returned results (0 or 1).
'1' means the claim has to be adjusted and '0' means there is no need to adjust it.

Predict Tax Refund Claim Adjustment

Your model is deployed in a secure sandbox. What now?