Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6826  0.0120  0.0820  0.4124  0.2722  0.33
Anderszewski 2003   41  0.5424  0.0125  0.0729  0.3222  0.3126  0.31
Ashkenazy 1981   24  0.6275  0.0029  0.0924  0.3928  0.2724  0.32
Bacha 2000   71  0.4076  0.0079  0.0284  0.0275  0.0384  0.02
Badura 1965   31  0.6016  0.0128  0.0727  0.3612  0.4218  0.39
Barbosa 1983   20  0.6538  0.0015  0.0719  0.4213  0.4312  0.42
Biret 1990   25  0.6231  0.0035  0.0630  0.2938  0.1534  0.21
Blet 2003   5  0.7253  0.0013  0.1116  0.4317  0.3817  0.40
Block 1995   65  0.4328  0.0065  0.0464  0.0466  0.0462  0.04
Blumental 1952   40  0.5444  0.0036  0.0742  0.1817  0.2732  0.22
Boshniakovich 1969   43  0.5468  0.0060  0.0460  0.0462  0.0464  0.04
Brailowsky 1960   69  0.4225  0.0183  0.0283  0.0269  0.0470  0.03
Bunin 1987   3  0.773  0.053  0.253  0.584  0.553  0.56
Bunin 1987b   2  0.778  0.022  0.182  0.584  0.552  0.56
Chiu 1999   68  0.4269  0.0061  0.0461  0.0467  0.0454  0.04
Cohen 1997   85  0.1845  0.0078  0.0280  0.0268  0.0388  0.02
Cortot 1951   16  0.669  0.0217  0.1114  0.4411  0.4510  0.44
Csalog 1996   75  0.3721  0.0154  0.0550  0.0552  0.0652  0.05
Czerny 1949   9  0.6942  0.0021  0.0915  0.4316  0.4015  0.41
Czerny 1990   6  0.7254  0.0019  0.1010  0.4625  0.2521  0.34
Duchoud 2007   7  0.7111  0.018  0.0913  0.4411  0.459  0.44
Ezaki 2006   10  0.6923  0.0122  0.0717  0.4249  0.0638  0.16
Falvay 1989   53  0.4955  0.0069  0.0553  0.0583  0.0356  0.04
Farrell 1958   47  0.5259  0.0062  0.0466  0.0467  0.0457  0.04
Ferenczy 1958   23  0.6312  0.0110  0.0726  0.369  0.4813  0.42
Fliere 1977   33  0.5970  0.0055  0.0552  0.0582  0.0353  0.04
Fou 1978   82  0.3280  0.0085  0.0374  0.0386  0.0286  0.02
Francois 1956   36  0.5720  0.0141  0.0739  0.1935  0.1340  0.16
Friedman 1923   81  0.3288  0.0042  0.0838  0.195  0.5325  0.32
Friedman 1923b   76  0.3490  0.0037  0.0636  0.214  0.5323  0.33
Friedman 1930   79  0.3451  0.0043  0.0843  0.1732  0.2335  0.20
Garcia 2007   61  0.4571  0.0052  0.0548  0.0516  0.3542  0.13
Garcia 2007b   86  0.1387  0.0076  0.0378  0.0376  0.0383  0.03
Gierzod 1998   30  0.6046  0.0038  0.0631  0.2843  0.1137  0.18
Gornostaeva 1994   38  0.5634  0.0058  0.0551  0.0567  0.0365  0.04
Groot 1988   32  0.6039  0.0044  0.0844  0.1556  0.0448  0.08
Harasiewicz 1955   39  0.552  0.065  0.184  0.5319  0.3314  0.42
Hatto 1993   74  0.3849  0.0034  0.0841  0.1820  0.3231  0.24
Hatto 1997   59  0.4647  0.0026  0.0834  0.2319  0.3628  0.29
Horowitz 1949   62  0.4472  0.0066  0.0369  0.0365  0.0475  0.03
Indjic 1988   72  0.4077  0.0033  0.0840  0.1823  0.3230  0.24
Kapell 1951   12  0.686  0.036  0.109  0.4612  0.476  0.46
Kissin 1993   63  0.4361  0.0081  0.0281  0.0267  0.0476  0.03
Kushner 1989   34  0.5856  0.0050  0.0459  0.0470  0.0373  0.03
Luisada 1991   70  0.4162  0.0074  0.0379  0.0377  0.0368  0.03
Lushtak 2004   22  0.6352  0.0012  0.0818  0.4218  0.3619  0.39
Malcuzynski 1961   19  0.6613  0.0124  0.0923  0.4036  0.1429  0.24
Magaloff 1978   50  0.5078  0.0064  0.0463  0.0452  0.0455  0.04
Magin 1975   60  0.4581  0.0046  0.0647  0.0651  0.0551  0.05
Michalowski 1933   44  0.5350  0.009  0.076  0.489  0.457  0.46
Milkina 1970   58  0.4640  0.0082  0.0373  0.0379  0.0374  0.03
Mohovich 1999   15  0.6743  0.0027  0.0828  0.3555  0.0444  0.12
Moravec 1969   52  0.5082  0.0068  0.0371  0.0374  0.0367  0.03
Morozova 2008   51  0.5064  0.0049  0.0462  0.0472  0.0378  0.03
Neighaus 1950   28  0.6030  0.0030  0.1125  0.3753  0.0541  0.14
Niedzielski 1931   66  0.4265  0.0077  0.0376  0.0369  0.0372  0.03
Ohlsson 1999   29  0.6014  0.0132  0.0732  0.2742  0.1336  0.19
Osinska 1989   37  0.567  0.0248  0.0556  0.0543  0.0949  0.07
Pachmann 1927   73  0.3848  0.0067  0.0467  0.0448  0.0560  0.04
Paderewski 1930   26  0.6141  0.0039  0.0637  0.2126  0.2233  0.21
Perlemuter 1992   13  0.6827  0.0014  0.088  0.4719  0.3416  0.40
Pierdomenico 2008   67  0.4257  0.0080  0.0285  0.0281  0.0385  0.02
Poblocka 1999   21  0.654  0.0416  0.0722  0.4023  0.3220  0.36
Rabcewiczowa 1932   18  0.6633  0.0023  0.0721  0.4111  0.4611  0.43
Rachmaninoff 1923   42  0.5479  0.0031  0.0833  0.2743  0.0939  0.16
Rangell 2001   56  0.4618  0.0175  0.0375  0.0365  0.0480  0.03
Richter 1976   45  0.5360  0.0047  0.0557  0.0540  0.0850  0.06
Rosen 1989   46  0.5222  0.0157  0.0646  0.0662  0.0363  0.04
Rosenthal 1930   35  0.5819  0.0145  0.0845  0.0834  0.2143  0.13
Rosenthal 1931   80  0.3489  0.0071  0.0370  0.0369  0.0377  0.03
Rosenthal 1931b   83  0.3137  0.0072  0.0368  0.0377  0.0382  0.03
Rosenthal 1931c   54  0.4883  0.0059  0.0554  0.0556  0.0466  0.04
Rosenthal 1931d   77  0.3466  0.0073  0.0377  0.0374  0.0381  0.03
Rossi 2007   84  0.2984  0.0070  0.0372  0.0371  0.0371  0.03
Rubinstein 1939   87  0.0935  0.0090  0.0190  0.0183  0.0290  0.01
Rubinstein 1952   78  0.3429  0.0089  0.0289  0.0288  0.0289  0.02
Rubinstein 1966   64  0.4385  0.0084  0.0282  0.0280  0.0387  0.02
Schilhawsky 1960   17  0.6632  0.0011  0.0811  0.457  0.478  0.46
Shebanova 2002   57  0.4617  0.0153  0.0555  0.0574  0.0361  0.04
Smith 1975   14  0.6715  0.0118  0.0912  0.4534  0.1927  0.29
Sokolov 2002   4  0.765  0.034  0.245  0.532  0.534  0.53
Sztompka 1959   8  0.7110  0.017  0.117  0.478  0.505  0.48
Tomsic 1995   27  0.6173  0.0040  0.0635  0.2146  0.0545  0.10
Uninsky 1932   1  0.871  0.501  0.491  0.721  0.741  0.73
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   55  0.4674  0.0051  0.0465  0.0481  0.0369  0.03
Zak 1937   49  0.5158  0.0063  0.0549  0.0579  0.0358  0.04
Zak 1951   48  0.5186  0.0056  0.0558  0.0569  0.0459  0.04
Random 1   88  0.0236  0.0088  0.0288  0.0220  0.3147  0.08
Random 2   90  0.0063  0.0087  0.0287  0.0220  0.2946  0.08
Random 3   89  0.0267  0.0086  0.0286  0.0246  0.0679  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).