Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.479  0.026  0.154  0.603  0.655  0.62
Anderszewski 2003   36  0.3450  0.0035  0.0634  0.2319  0.4830  0.33
Ashkenazy 1981   32  0.3631  0.0033  0.0636  0.2044  0.1347  0.16
Bacha 2000   27  0.3822  0.0121  0.0620  0.389  0.5618  0.46
Badura 1965   43  0.3234  0.0049  0.0945  0.0912  0.5438  0.22
Barbosa 1983   45  0.3225  0.0065  0.0656  0.0662  0.0568  0.05
Biret 1990   28  0.3785  0.0037  0.0640  0.1618  0.5834  0.30
Blet 2003   47  0.3244  0.0050  0.0746  0.0742  0.2449  0.13
Block 1995   50  0.3147  0.0053  0.0563  0.0555  0.0571  0.05
Blumental 1952   17  0.4127  0.0016  0.1010  0.487  0.656  0.56
Boshniakovich 1969   68  0.2516  0.0143  0.0743  0.1442  0.1448  0.14
Brailowsky 1960   9  0.4415  0.0110  0.086  0.584  0.704  0.64
Bunin 1987   80  0.2130  0.0079  0.0469  0.0456  0.0672  0.05
Bunin 1987b   79  0.2153  0.0078  0.0380  0.0358  0.0676  0.04
Chiu 1999   49  0.3177  0.0075  0.0470  0.0458  0.0663  0.05
Cohen 1997   25  0.3855  0.0048  0.0747  0.0723  0.4742  0.18
Cortot 1951   29  0.3786  0.0041  0.0641  0.1514  0.5735  0.29
Csalog 1996   77  0.2351  0.0086  0.0379  0.0361  0.0577  0.04
Czerny 1949   22  0.3959  0.0023  0.0624  0.3311  0.7813  0.51
Czerny 1990   82  0.2057  0.0076  0.0472  0.0458  0.0673  0.05
Duchoud 2007   48  0.3260  0.0036  0.0638  0.1744  0.1546  0.16
Ezaki 2006   2  0.504  0.063  0.202  0.662  0.782  0.72
Falvay 1989   15  0.4110  0.0220  0.0719  0.387  0.5321  0.45
Farrell 1958   72  0.2462  0.0058  0.0564  0.0563  0.0564  0.05
Ferenczy 1958   60  0.3039  0.0060  0.0559  0.0524  0.6940  0.19
Fliere 1977   41  0.3363  0.0051  0.0748  0.0751  0.0658  0.06
Fou 1978   38  0.3414  0.0134  0.0628  0.3031  0.3531  0.32
Francois 1956   18  0.4020  0.0126  0.0716  0.4215  0.6611  0.53
Friedman 1923   67  0.2687  0.0069  0.0375  0.0361  0.0681  0.04
Friedman 1923b   69  0.2564  0.0070  0.0465  0.0450  0.0960  0.06
Friedman 1930   59  0.3052  0.0055  0.0467  0.0450  0.0769  0.05
Garcia 2007   86  0.1469  0.0080  0.0378  0.0359  0.0579  0.04
Garcia 2007b   83  0.1778  0.0082  0.0288  0.0260  0.0588  0.03
Gierzod 1998   54  0.3135  0.0031  0.0731  0.2617  0.6224  0.40
Gornostaeva 1994   1  0.511  0.301  0.301  0.684  0.791  0.73
Groot 1988   16  0.4123  0.0017  0.1111  0.4729  0.3325  0.39
Harasiewicz 1955   8  0.4417  0.017  0.118  0.5216  0.4815  0.50
Hatto 1993   33  0.3574  0.0029  0.0730  0.2738  0.2437  0.25
Hatto 1997   3  0.492  0.172  0.249  0.526  0.579  0.54
Horowitz 1949   85  0.1681  0.0084  0.0282  0.0265  0.0584  0.03
Indjic 1988   37  0.3433  0.0030  0.0932  0.2537  0.2536  0.25
Kapell 1951   61  0.306  0.0342  0.0739  0.1636  0.1745  0.16
Kissin 1993   70  0.2426  0.0062  0.0562  0.0546  0.1055  0.07
Kushner 1989   42  0.3228  0.0054  0.0466  0.0451  0.0765  0.05
Luisada 1991   53  0.3143  0.0066  0.0751  0.0760  0.0557  0.06
Lushtak 2004   63  0.2856  0.0074  0.0374  0.0358  0.0580  0.04
Malcuzynski 1961   39  0.3372  0.0047  0.0749  0.0740  0.1553  0.10
Magaloff 1978   58  0.3036  0.0057  0.0655  0.0649  0.0659  0.06
Magin 1975   35  0.3518  0.0145  0.0753  0.0731  0.4441  0.18
Michalowski 1933   56  0.3111  0.0232  0.0644  0.1245  0.1052  0.11
Milkina 1970   24  0.388  0.0313  0.0629  0.2820  0.4626  0.36
Mohovich 1999   26  0.3829  0.0039  0.0733  0.2420  0.3933  0.31
Moravec 1969   64  0.2742  0.0059  0.0471  0.0459  0.0474  0.04
Morozova 2008   30  0.3765  0.0038  0.0635  0.2342  0.1244  0.17
Neighaus 1950   12  0.4254  0.0015  0.0712  0.4435  0.2729  0.34
Niedzielski 1931   78  0.2158  0.0072  0.0377  0.0370  0.0483  0.03
Ohlsson 1999   11  0.4266  0.0019  0.0726  0.3230  0.3032  0.31
Osinska 1989   20  0.4032  0.0027  0.0823  0.3516  0.5820  0.45
Pachmann 1927   76  0.2375  0.0077  0.0284  0.0271  0.0586  0.03
Paderewski 1930   74  0.2370  0.0073  0.0376  0.0350  0.0766  0.05
Perlemuter 1992   19  0.407  0.038  0.1513  0.4322  0.5714  0.50
Pierdomenico 2008   84  0.1671  0.0085  0.0283  0.0276  0.0389  0.02
Poblocka 1999   40  0.3382  0.0056  0.0558  0.0549  0.0661  0.05
Rabcewiczowa 1932   10  0.4224  0.0025  0.0722  0.3715  0.6912  0.51
Rachmaninoff 1923   71  0.2448  0.0071  0.0373  0.0366  0.0482  0.03
Rangell 2001   65  0.2767  0.0052  0.0752  0.0733  0.2450  0.13
Richter 1976   81  0.2179  0.0083  0.0285  0.0275  0.0485  0.03
Rosen 1989   13  0.415  0.049  0.147  0.5520  0.5110  0.53
Rosenthal 1930   23  0.3940  0.0028  0.0821  0.3712  0.6117  0.48
Rosenthal 1931   51  0.3176  0.0040  0.0737  0.1813  0.6827  0.35
Rosenthal 1931b   34  0.3546  0.0011  0.0814  0.439  0.737  0.56
Rosenthal 1931c   52  0.3173  0.0046  0.0750  0.0722  0.4843  0.18
Rosenthal 1931d   57  0.3041  0.0022  0.0625  0.338  0.6419  0.46
Rossi 2007   87  0.1449  0.0087  0.0287  0.0236  0.1462  0.05
Rubinstein 1939   14  0.4121  0.0118  0.0827  0.3115  0.3828  0.34
Rubinstein 1952   31  0.3745  0.0024  0.0618  0.4016  0.5122  0.45
Rubinstein 1966   21  0.4019  0.0112  0.0617  0.4018  0.4123  0.40
Schilhawsky 1960   75  0.2337  0.0081  0.0381  0.0357  0.0578  0.04
Shebanova 2002   55  0.3188  0.0064  0.0557  0.0547  0.1056  0.07
Smith 1975   4  0.4812  0.025  0.125  0.587  0.753  0.66
Sokolov 2002   6  0.4613  0.0114  0.0615  0.428  0.5716  0.49
Sztompka 1959   66  0.2661  0.0063  0.0561  0.0555  0.0667  0.05
Tomsic 1995   44  0.3238  0.0044  0.0842  0.1526  0.2839  0.20
Uninsky 1932   7  0.443  0.094  0.173  0.6218  0.488  0.55
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   73  0.2483  0.0068  0.0468  0.0477  0.0575  0.04
Zak 1937   62  0.2980  0.0067  0.0654  0.0642  0.1354  0.09
Zak 1951   46  0.3268  0.0061  0.0560  0.0534  0.3051  0.12
Random 1   89  0.0289  0.0089  0.0289  0.0260  0.0487  0.03
Random 2   88  0.0390  0.0088  0.0286  0.0237  0.1570  0.05
Random 3   90  -0.0684  0.0090  0.0190  0.0160  0.0390  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).