Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.7138  0.005  0.134  0.5722  0.3910  0.47
Anderszewski 2003   58  0.5152  0.0048  0.0567  0.0581  0.0369  0.04
Ashkenazy 1981   36  0.5825  0.0022  0.0921  0.4129  0.2625  0.33
Bacha 2000   76  0.3771  0.0070  0.0558  0.0575  0.0464  0.04
Badura 1965   9  0.679  0.0118  0.1115  0.488  0.4511  0.46
Barbosa 1983   56  0.5323  0.0059  0.0561  0.0530  0.2242  0.10
Biret 1990   52  0.5429  0.0056  0.0566  0.0561  0.0562  0.05
Blet 2003   6  0.6946  0.0020  0.1113  0.5012  0.3913  0.44
Block 1995   64  0.4864  0.0044  0.0643  0.1254  0.0450  0.07
Blumental 1952   47  0.5550  0.0031  0.0734  0.2217  0.2532  0.23
Boshniakovich 1969   20  0.6212  0.0139  0.0937  0.2130  0.2433  0.22
Brailowsky 1960   71  0.4145  0.0079  0.0382  0.0387  0.0375  0.03
Bunin 1987   21  0.6251  0.0025  0.0724  0.4012  0.4615  0.43
Bunin 1987b   24  0.6290  0.0024  0.0623  0.4112  0.4614  0.43
Chiu 1999   59  0.5070  0.0065  0.0747  0.0766  0.0456  0.05
Cohen 1997   87  0.1187  0.0086  0.0287  0.0280  0.0388  0.02
Cortot 1951   7  0.6878  0.0017  0.1111  0.526  0.556  0.53
Csalog 1996   81  0.3349  0.0073  0.0473  0.0464  0.0468  0.04
Czerny 1949   2  0.736  0.013  0.193  0.5812  0.477  0.52
Czerny 1990   5  0.7047  0.0019  0.129  0.5425  0.2718  0.38
Duchoud 2007   33  0.5858  0.0037  0.0630  0.2924  0.3427  0.31
Ezaki 2006   12  0.6669  0.0029  0.0825  0.4044  0.0835  0.18
Falvay 1989   80  0.3581  0.0084  0.0286  0.0284  0.0385  0.02
Farrell 1958   69  0.4562  0.0069  0.0648  0.0662  0.0457  0.05
Ferenczy 1958   28  0.5943  0.0015  0.0929  0.298  0.4123  0.34
Fliere 1977   16  0.6366  0.0038  0.0931  0.2662  0.0441  0.10
Fou 1978   68  0.4585  0.0068  0.0470  0.0484  0.0379  0.03
Francois 1956   55  0.5342  0.0061  0.0650  0.0649  0.0563  0.05
Friedman 1923   44  0.5663  0.008  0.1210  0.533  0.644  0.58
Friedman 1923b   43  0.5619  0.007  0.138  0.543  0.643  0.59
Friedman 1930   41  0.5711  0.0113  0.1212  0.516  0.518  0.51
Garcia 2007   34  0.5875  0.0046  0.0655  0.0617  0.4136  0.16
Garcia 2007b   61  0.4965  0.0047  0.0746  0.0713  0.2640  0.13
Gierzod 1998   23  0.6216  0.0021  0.1018  0.4535  0.2326  0.32
Gornostaeva 1994   54  0.5322  0.0063  0.0653  0.0668  0.0372  0.04
Groot 1988   66  0.4733  0.0067  0.0651  0.0687  0.0374  0.04
Harasiewicz 1955   10  0.6620  0.0010  0.126  0.5617  0.3812  0.46
Hatto 1993   67  0.4661  0.0035  0.0640  0.1843  0.0939  0.13
Hatto 1997   62  0.4967  0.0023  0.0833  0.2331  0.1834  0.20
Horowitz 1949   26  0.602  0.0134  0.0635  0.2128  0.3529  0.27
Indjic 1988   65  0.4874  0.0032  0.0738  0.1941  0.1237  0.15
Kapell 1951   15  0.6410  0.0114  0.0816  0.4722  0.3117  0.38
Kissin 1993   40  0.5721  0.0058  0.0559  0.0568  0.0467  0.04
Kushner 1989   29  0.5956  0.0053  0.0560  0.0584  0.0366  0.04
Luisada 1991   46  0.5554  0.0060  0.0656  0.0663  0.0454  0.05
Lushtak 2004   51  0.5460  0.0041  0.0841  0.1555  0.0545  0.09
Malcuzynski 1961   27  0.608  0.016  0.1227  0.3718  0.3122  0.34
Magaloff 1978   72  0.4128  0.0071  0.0474  0.0481  0.0377  0.03
Magin 1975   45  0.5641  0.0043  0.0642  0.1453  0.0546  0.08
Michalowski 1933   13  0.6532  0.004  0.135  0.577  0.495  0.53
Milkina 1970   63  0.4972  0.0066  0.0652  0.0653  0.0559  0.05
Mohovich 1999   30  0.5814  0.0154  0.0563  0.0559  0.0561  0.05
Moravec 1969   57  0.5215  0.0049  0.0468  0.0445  0.0851  0.06
Morozova 2008   19  0.6373  0.0033  0.0632  0.2655  0.0443  0.10
Neighaus 1950   25  0.6157  0.0012  0.0914  0.4940  0.1231  0.24
Niedzielski 1931   37  0.5818  0.0036  0.0636  0.2120  0.3030  0.25
Ohlsson 1999   53  0.5435  0.0040  0.0739  0.1942  0.1038  0.14
Osinska 1989   38  0.5879  0.0062  0.0845  0.0880  0.0355  0.05
Pachmann 1927   77  0.3740  0.0082  0.0384  0.0379  0.0381  0.03
Paderewski 1930   50  0.5434  0.0055  0.0565  0.0542  0.1148  0.07
Perlemuter 1992   11  0.6639  0.0027  0.0720  0.4328  0.2128  0.30
Pierdomenico 2008   74  0.3948  0.0074  0.0476  0.0487  0.0278  0.03
Poblocka 1999   17  0.6327  0.0016  0.1319  0.4423  0.2720  0.34
Rabcewiczowa 1932   14  0.6424  0.0028  0.0822  0.4114  0.4116  0.41
Rachmaninoff 1923   22  0.6217  0.0011  0.1317  0.4525  0.2424  0.33
Rangell 2001   75  0.3755  0.0075  0.0562  0.0566  0.0373  0.04
Richter 1976   49  0.5444  0.0057  0.0557  0.0535  0.1744  0.09
Rosen 1989   48  0.5536  0.0052  0.0564  0.0581  0.0371  0.04
Rosenthal 1930   60  0.5082  0.0064  0.0649  0.0650  0.0560  0.05
Rosenthal 1931   82  0.3159  0.0080  0.0377  0.0386  0.0287  0.02
Rosenthal 1931b   85  0.2880  0.0081  0.0381  0.0386  0.0290  0.02
Rosenthal 1931c   79  0.3688  0.0077  0.0475  0.0468  0.0383  0.03
Rosenthal 1931d   84  0.2983  0.0083  0.0379  0.0383  0.0289  0.02
Rossi 2007   73  0.3986  0.0076  0.0378  0.0381  0.0376  0.03
Rubinstein 1939   86  0.2353  0.0087  0.0285  0.0280  0.0386  0.02
Rubinstein 1952   83  0.3031  0.0085  0.0380  0.0367  0.0484  0.03
Rubinstein 1966   78  0.3677  0.0078  0.0383  0.0356  0.0570  0.04
Schilhawsky 1960   8  0.6726  0.009  0.127  0.5617  0.449  0.50
Shebanova 2002   39  0.5713  0.0142  0.0644  0.1171  0.0449  0.07
Smith 1975   32  0.583  0.0150  0.0469  0.0460  0.0465  0.04
Sokolov 2002   42  0.5730  0.0030  0.0828  0.3633  0.3221  0.34
Sztompka 1959   3  0.734  0.012  0.322  0.657  0.542  0.59
Tomsic 1995   70  0.4476  0.0072  0.0471  0.0485  0.0280  0.03
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.891  0.801  0.791  0.861  0.841  0.85
Wasowski 1980   18  0.637  0.0126  0.0726  0.3914  0.3619  0.37
Zak 1937   31  0.5837  0.0051  0.0472  0.0456  0.0658  0.05
Zak 1951   35  0.585  0.0145  0.0654  0.0651  0.0652  0.06
Random 1   89  -0.0884  0.0089  0.0189  0.0117  0.3653  0.06
Random 2   88  -0.0689  0.0088  0.0288  0.0213  0.3447  0.08
Random 3   90  -0.0968  0.0090  0.0190  0.0139  0.1182  0.03

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).