Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.6649  0.0034  0.0638  0.0617  0.3838  0.15
Ashkenazy 1981   17  0.7260  0.0021  0.0819  0.4227  0.2823  0.34
Beliavsky 2004   19  0.7214  0.0120  0.0822  0.404  0.5710  0.48
BenOr 1989   2  0.751  0.341  0.341  0.6415  0.426  0.52
Biret 1990   36  0.6727  0.0026  0.1126  0.3025  0.2828  0.29
Blet 2003   47  0.6533  0.0035  0.0643  0.0623  0.2546  0.12
Block 1995   14  0.733  0.114  0.189  0.508  0.574  0.53
Brailowsky 1960   51  0.6345  0.0048  0.0642  0.0620  0.4336  0.16
Chiu 1999   18  0.7241  0.0011  0.1713  0.4716  0.538  0.50
Clidat 1994   20  0.716  0.0212  0.1211  0.489  0.4911  0.48
Cohen 1997   61  0.5561  0.0059  0.0460  0.048  0.5143  0.14
Coop 1987   13  0.7338  0.0014  0.1312  0.4830  0.2522  0.35
Cortot 1951   34  0.6740  0.0045  0.0636  0.065  0.6233  0.19
Czerny 1949   24  0.7128  0.0023  0.1017  0.4422  0.4115  0.42
Czerny 1949b   26  0.7117  0.0128  0.1028  0.2825  0.3824  0.33
Ezaki 2006   12  0.7342  0.0018  0.1018  0.4329  0.3418  0.38
Falvay 1989   4  0.757  0.026  0.166  0.5417  0.552  0.54
Ferenczy 1958   60  0.5663  0.0061  0.0554  0.0553  0.0561  0.05
Fiorentino 1962   10  0.7329  0.0010  0.167  0.5417  0.515  0.52
Fliere 1977   1  0.764  0.103  0.202  0.6413  0.531  0.58
Fou 1978   22  0.7151  0.0022  0.1025  0.3331  0.2626  0.29
Francois 1956   59  0.5754  0.0060  0.0459  0.0419  0.3848  0.12
Hatto 1997   35  0.6719  0.0033  0.0548  0.0518  0.4142  0.14
Horowitz 1971   41  0.6611  0.0136  0.0545  0.057  0.5535  0.17
Horowitz 1985   58  0.5843  0.0056  0.0458  0.049  0.5040  0.14
Indjic 2001   33  0.6852  0.0032  0.0632  0.1123  0.3034  0.18
Kapell 1951   27  0.7121  0.0025  0.0823  0.3931  0.2127  0.29
Kiepura 1999   29  0.6910  0.0115  0.0829  0.2616  0.5121  0.36
Kilenyi 1937   16  0.7215  0.0113  0.1315  0.4526  0.4413  0.44
Kissin 1993   8  0.745  0.035  0.174  0.5627  0.2520  0.37
Kitain 1937   62  0.4730  0.0062  0.0639  0.0620  0.3344  0.14
Kushner 1990   57  0.5844  0.0057  0.0462  0.0443  0.0760  0.05
Levy 1951   43  0.6637  0.0041  0.0552  0.0526  0.2252  0.10
Luisada 1990   37  0.6756  0.0042  0.0644  0.0631  0.2250  0.11
Lushtak 2004   30  0.6923  0.0037  0.0551  0.0523  0.3345  0.13
Lympany 1968   45  0.6546  0.0044  0.0546  0.0523  0.3939  0.14
Magaloff 1977   5  0.7513  0.019  0.1610  0.5011  0.519  0.50
Magaloff 1977b   6  0.7512  0.018  0.138  0.5110  0.517  0.51
Magin 1975   9  0.7316  0.0117  0.1021  0.4128  0.4712  0.44
Milkina 1970   32  0.689  0.0143  0.0641  0.0623  0.3241  0.14
Mohovich 1999   42  0.6659  0.0046  0.0734  0.0734  0.0759  0.07
Nadelmann 1956   44  0.6532  0.0040  0.0547  0.0529  0.2153  0.10
Ohlsson 1999   49  0.6455  0.0050  0.0637  0.0637  0.0858  0.07
Olejniczac 1990   7  0.7425  0.007  0.145  0.5520  0.513  0.53
Olejniczak 1991   15  0.7253  0.0019  0.1120  0.4223  0.4414  0.43
Osinska 1989   3  0.752  0.232  0.233  0.6131  0.2716  0.41
Paderewski 1912   31  0.6850  0.0030  0.0830  0.1811  0.4329  0.28
Perahia 1994   56  0.5824  0.0052  0.0456  0.0420  0.3547  0.12
Perlemuter 1986   48  0.6436  0.0049  0.0735  0.0722  0.3137  0.15
Poblocka 1999   11  0.7326  0.0016  0.0714  0.4530  0.3417  0.39
Rangell 2001   23  0.7122  0.0029  0.1427  0.2926  0.2830  0.28
Risler 1920   55  0.5958  0.0055  0.0550  0.0538  0.1057  0.07
Rosen 1989   52  0.6357  0.0054  0.0549  0.0529  0.1756  0.09
Rubinstein 1939   54  0.6035  0.0051  0.0461  0.0426  0.2849  0.11
Rubinstein 1952   50  0.6320  0.0053  0.0457  0.0460  0.0463  0.04
Rubinstein 1966   53  0.6139  0.0058  0.0455  0.0457  0.0462  0.04
Rummel 1943   46  0.6548  0.0047  0.0833  0.087  0.4832  0.20
Shebanova 2002   39  0.6734  0.0039  0.0553  0.0525  0.1954  0.10
Smith 1975   21  0.7118  0.0024  0.0816  0.4422  0.3219  0.38
Szpilman 1948   38  0.6747  0.0038  0.0640  0.0629  0.1651  0.10
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   28  0.708  0.0131  0.0931  0.1730  0.3331  0.24
Weissenberg 1971   25  0.7131  0.0027  0.1324  0.3731  0.2525  0.30
Random 1    64  -0.0162  0.0064  0.0363  0.0316  0.3055  0.09
Random 2   63  0.0065  0.0063  0.0264  0.0259  0.0264  0.02
Random 3   65  -0.0564  0.0065  0.0265  0.0259  0.0365  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).