Research on Employment and Entrepreneurship Potential Mining and Cultivation Mechanism of College Students Based on Decision Tree Modeling

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Figure 7.

Rules for the classification of successful employment

Number	Rule	Conclusion
1	Grades less than 85 points and cadres=No and political identity=Non-party and source=Central region	Employment
2	Grades less than 85 points and cadres=No and political identity=Non-party and source=Eastern region	Unemployment
3	Grades less than 85 points and cadres=No and political identity=Non-party and source=Western region	Employment
4	Grades less than 85 points and cadres=No and political identity=Party and source=Central region	Employment
5	Grades less than 85 points and cadres=No and political identity=Party and source=Eastern region	Employment
6	Grades less than 85 points and cadres=No and political identity=Party and source=Western region	Unemployment
7	Grades less than 85 points and cadres=Yes	Employment
8	Grade greater than 85 points and source of land =Central area	Employment
9	Achievement = greater than 85 points and raw land = east region and political identity = non-party member	Employment
10	Achievement = greater than 85 points and origin = eastern region and political identity = Party member and cadre = No	Employment
11	This cable = more than 85 points and origin = eastern region and political identity = party member and cadre = Yes	Unemployment
12	Achievement-greater than 85 points and origin = western region and cadre=No	Employment
13	Achievement = more than 85 points and the western region of the origin and, the cadre is and political identity = non-party member	Employment
14	Achievement = more than 85 points and origin = western region and, cadre is and political identity = party member	Unemployment

The accuracy of graduation prediction

	Government agencies/institutions, state-owned enterprises	Promotion	Foreign enterprises, private enterprises	Freelancing	Acc/%
Government agencies/institutions, state-owned enterprises	241	15	17	19	82.53
Promotion	15	267	14	18	85.03
Foreign enterprises, private enterprises	27	24	262	18	79.15
Freelancing	14	15	12	222	84.41

Eigenvalue and variance contribution rate

Factor	eigenvalue	Variance contribution(%)	Cumulative(%)
1	5.278	36.955%	36.955%
2	2.196	15.356%	52.311%
3	1.906	13.335%	65.646%
4	1.113	7.752%	73.398%
5	0.868	6.083%	79.481%
6	0.798	5.602%	85.083%
7	0.685	4.750%	89.833%
8	0.473	3.287%	93.120%
9	0.350	2.451%	95.571%
10	0.263	1.803%	97.374%
11	0.161	1.189%	98.563%
12	0.095	0.657%	99.220%
13	0.077	0.541%	99.761%
14	0.022	0.123%	99.884%
15	0.021	0.116%	100.000%

The table of Income classification

Evaluation index	Evaluation criteria	Evaluation level
Remuneration	St≥1.5Sd	A
	1.5 Sd > St≥1.2 Sd	B
	1.2 Sd > St≥0.8 Sd	C
	0.8 Sd > St≥0.5 Sd	D
	0.5 Sd >St	E

Analyzes the properties of college graduates’ employment

		Employment	Cadre	Source information	Grade	Political identity	Gender
Employment	Cor	1.000	0.755	0.705	0.822	0.584	0.085
	Sig.2	0.000	0.000	0.000	0.000	0.000	0.156
	N	1200	1200	1200	1200	1200	1200
Cadre	Cor	0.728	1.000	0.516	0.638	0.451	0.003
	Sig.2	0.000	0.000	0.000	0.000	0.000	0.566
	N	1200	1200	1200	1200	1200	1200
Source information	Cor	0.705	0.511	1.000	0.584	0.412	0.035
	Sig.2	0.000	0.000	0.000	0.000	0.000	0.563
	N	1200	1200	1200	1200	1200	1200
Grade	Cor	0.825	0.634	0.595	1.000	0.0477	0.035
	Sig.2	0.000	0.000	0.000	0.000	0.000	0.000
	N	1200	1200	1200	1200	1200	1200
Political identity	Cor	0.559	0.454	0.412	0.485	1.000	0.042
	Sig.2	0.000	0.000	0.000	0.000	0.000	0.000
	N	1200	1200	1200	1200	1200	1200
Gender	Cor	0.085	0.001	0.033	0.031	0.045	1.000
	Sig.2	0.158	0.981	0.566	0.000	0.000	0.000
	N	1200	1200	1200	1200	1200	1200

Correlation matrix

	X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	X11	X12	X13	X14	X15
X1	1.000	0.643	0.524	0.492	-0.152	0.153	-0.311	0.308	-0.252	0.365	-0.189	0.303	0.109	0.061	0.251
X2	0.636	1.000	0.762	0.162	0.043	-0.112	0.118	0.308	-0.174	0.275	-0.557	0.456	-0.426	0.036	0.317
X3	0.526	0.761	1.000	0.246	0.23	0.027	-0.428	-0.383	0.1	0.469	0.158	0.122	0.169	0.353	0.281
X4	0.491	0.168	0.25	1.000	0.647	0.369	0.338	0.405	0.005	0.063	-0.103	-0.033	0.198	0.384	0.398
X5	-0.554	0.049	0.212	0.378	1.000	0.434	0.401	-0.434	0.194	-0.01	0.299	-0.301	0.173	0.306	0.209
X6	0.145	-0.118	0.029	0.337	0.438	1.000	0.388	0.314	0.18	-0.067	-0.509	0.248	0.498	0.25	0.351
X7	-0.318	0.127	-0.425	0.407	0.414	0.398	1.000	-0.198	-0.084	-0.448	0.063	-0.555	0.206	0.135	0.263
X8	0.302	0.299	-0.372	0.006	-0.431	0.313	-0.193	1.000	0.658	0.524	0.752	-0.307	0.457	0.143	0.273
X9	-0.261	-0.185	0.098	0.07	0.192	0.173	-0.104	0.653	1.000	0.295	0.473	0.029	0.39	0.056	0.416
X10	0.36	0.283	0.468	-0.103	0.009	-0.072	-0.448	0.532	0.311	1.000	0.399	0.086	0.22	0.124	0.416
X11	-0.18	-0.558	0.155	-0.031	0.298	-0.501	0.056	0.75	0.467	0.393	1.000	-0.027	-0.02	0.127	0.494
X12	0.305	0.451	0.119	0.192	-0.299	0.24	-0.55	-0.318	0.03	0.08	-0.035	1.000	0.667	0.396	0.399
X13	0.101	-0.42	0.161	0.382	0.174	0.494	0.198	0.458	0.389	0.227	-0.019	0.654	1.000	0.471	0.524
X14	0.062	0.032	0.37	0.397	0.313	0.257	0.143	0.138	0.062	0.119	0.134	0.392	0.471	1.000	0.351
X15	0.25	0.313	0.294	0.109	0.215	0.347	0.26	0.272	0.416	0.402	0.485	0.4	0.524	0.347	1

Rotated component matrix

Measuring factor	Public factor
	1	2	3	4
X1	0.926	0.078	0.126	0.078
X2	0.728	0.197	0.157	-0.022
X3	0.937	0.123	0.152	0.052
X4	0.565	0.735	0.073	0.448
X5	0.322	0.798	0.166	0.219
X6	0.277	0.852	0.051	0.131
X7	0.142	0.865	0.149	-0.059
X8	0.162	-0.068	0.902	0.114
X9	0.109	0.326	0.774	0.134
X10	-0.030	0.185	0.856	-0.009
X11	0.084	0.138	0.781	0.101
X12	-0.077	-0.496	0.728	0.007
X13	0.185	0.128	0.255	0.814
X14	-0.091	0.109	0.017	0.806
X15	0.420	0.215	0.006	0.640

Component matrix

Measuring factor	Public factor
	1	2	3	4
X1	0.526	0.480	0.255	-0.304
X2	0.345	0.201	0.266	-0.019
X3	0.429	0.385	0.089	0.358
X4	0.170	0.256	0.202	0.209
X5	0.388	0.515	0.468	0.189
X6	0.423	0.421	0.210	0.393
X7	0.515	0.463	0.462	-0.122
X8	0.495	-0.322	0.674	0.387
X9	0.457	0.427	0.360	0.296
X10	-0.389	0.268	0.294	0.193
X11	0.301	0.315	0.291	0.309
X12	-0.138	-0.105	0.292	0.312
X13	0.205	0.289	0.360	0.404
X14	-0.210	0.419	0.309	0.407
X15	0.289	0.342	0.210	0.355

Property values and conversion value comparison

Attribute classification	Attribute name	Attribute value	Conversion value
Basic attribute	Gender	Male and female	1, 0
	Political identity	Party member	1, 0
	Source information	Eastern region, central region, western region	1, 0, -1
	Whether to be a student cadre	Yes, no	1, 0
	Comprehensive achievement	85 points above 85 points	1, 0
	Job category	Teaching personnel and non-teaching personnel	1, 0
	Job matching	Match, mismatch	Y, N
Predictive attribute	Employment situation	Employment and employment	1, 0, -1

Component score coefficient matrix

Measuring factor	Public factor
	1	2	3	4
X1	0.088	-0.019	0.056	0.047
X2	-0.268	0.019	0.282	-0.026
X3	0.099	-0.039	0.172	-0.102
X4	-0.157	-0.040	0.360	-0.016
X5	0.067	-0.272	-0.003	0.065
X6	0.071	-0.258	0.009	0.025
X7	-0.080	0.055	-0.212	0.014
X8	-0.009	0.080	0.199	-0.103
X9	-0.011	-0.120	0.253	0.124
X10	-0.003	0.157	0.175	-0.179
X11	0.266	0.243	-0.084	0.100
X12	0.128	-0.204	-0.074	0.007
X13	0.136	0.021	0.122	0.202
X14	0.107	0.072	-0.047	0.070
X15	0.005	0.120	0.031	0.137