Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3171  0.0076  0.0464  0.0468  0.0475  0.04
Anderszewski 2003   79  0.2657  0.0072  0.0648  0.0655  0.0663  0.06
Ashkenazy 1981   6  0.4914  0.0113  0.169  0.6710  0.647  0.65
Bacha 2000   68  0.3178  0.0043  0.0543  0.0925  0.2836  0.16
Badura 1965   59  0.3222  0.0033  0.0838  0.1431  0.2035  0.17
Barbosa 1983   20  0.4010  0.0220  0.1017  0.5135  0.2320  0.34
Biret 1990   45  0.3464  0.0031  0.0932  0.2431  0.3723  0.30
Blet 2003   42  0.3573  0.0065  0.0382  0.0344  0.1066  0.05
Block 1995   28  0.3816  0.0137  0.0633  0.2239  0.1732  0.19
Blumental 1952   40  0.3515  0.0141  0.0642  0.1464  0.0557  0.08
Boshniakovich 1969   33  0.3635  0.0023  0.0922  0.4055  0.0638  0.15
Brailowsky 1960   74  0.2956  0.0077  0.0552  0.0550  0.0760  0.06
Bunin 1987   41  0.3540  0.0045  0.0647  0.0639  0.1648  0.10
Bunin 1987b   49  0.3458  0.0044  0.0444  0.0841  0.1844  0.12
Chiu 1999   34  0.3666  0.0051  0.0462  0.0464  0.0470  0.04
Cohen 1997   80  0.2590  0.0083  0.0466  0.0462  0.0479  0.04
Cortot 1951   71  0.3061  0.0075  0.0372  0.0331  0.2554  0.09
Csalog 1996   54  0.3334  0.0046  0.0460  0.0425  0.2647  0.10
Czerny 1949   57  0.3341  0.0063  0.0380  0.0338  0.2552  0.09
Czerny 1990   9  0.4711  0.029  0.205  0.7018  0.665  0.68
Duchoud 2007   78  0.2729  0.0074  0.0378  0.0353  0.0676  0.04
Ezaki 2006   53  0.3375  0.0060  0.0645  0.0677  0.0464  0.05
Falvay 1989   29  0.3783  0.0048  0.0467  0.0453  0.0571  0.04
Farrell 1958   72  0.2981  0.0069  0.0554  0.0552  0.0665  0.05
Ferenczy 1958   84  0.2042  0.0086  0.0287  0.0260  0.0582  0.03
Fliere 1977   2  0.507  0.046  0.182  0.7215  0.548  0.62
Fou 1978   11  0.4638  0.0012  0.1511  0.6116  0.5212  0.56
Francois 1956   82  0.2288  0.0081  0.0379  0.0380  0.0389  0.03
Friedman 1923   47  0.3476  0.0052  0.0558  0.0533  0.2845  0.12
Friedman 1923b   37  0.3653  0.0040  0.0741  0.1427  0.4130  0.24
Friedman 1930   63  0.3151  0.0054  0.0556  0.0537  0.1550  0.09
Garcia 2007   66  0.3174  0.0070  0.0559  0.0548  0.0667  0.05
Garcia 2007b   58  0.3260  0.0059  0.0649  0.0653  0.0569  0.05
Gierzod 1998   62  0.3212  0.0222  0.0925  0.3437  0.1928  0.25
Gornostaeva 1994   76  0.2877  0.0068  0.0373  0.0371  0.0385  0.03
Groot 1988   22  0.3950  0.0038  0.0535  0.1852  0.0553  0.09
Harasiewicz 1955   7  0.484  0.105  0.218  0.6813  0.549  0.61
Hatto 1993   25  0.3848  0.0019  0.1019  0.4637  0.1725  0.28
Hatto 1997   51  0.3331  0.0036  0.0736  0.1753  0.0551  0.09
Horowitz 1949   27  0.3870  0.0049  0.0465  0.0424  0.4939  0.14
Indjic 1988   24  0.3968  0.0021  0.0920  0.4335  0.2421  0.32
Kapell 1951   12  0.4621  0.0017  0.2014  0.5427  0.3016  0.40
Kissin 1993   5  0.491  0.171  0.174  0.708  0.761  0.73
Kushner 1989   21  0.4020  0.0025  0.0921  0.4252  0.0637  0.16
Luisada 1991   17  0.439  0.0226  0.0827  0.2934  0.2227  0.25
Lushtak 2004   69  0.3028  0.0047  0.0461  0.0451  0.0578  0.04
Malcuzynski 1961   8  0.485  0.094  0.153  0.725  0.654  0.68
Magaloff 1978   16  0.4326  0.0011  0.1712  0.589  0.5611  0.57
Magin 1975   23  0.3936  0.0027  0.0824  0.3928  0.3717  0.38
Michalowski 1933   50  0.3444  0.0057  0.0468  0.0410  0.4840  0.14
Milkina 1970   36  0.3654  0.0035  0.0729  0.2639  0.2329  0.24
Mohovich 1999   70  0.3089  0.0078  0.0646  0.0671  0.0468  0.05
Moravec 1969   18  0.428  0.0315  0.1518  0.5013  0.4715  0.48
Morozova 2008   14  0.4524  0.0010  0.1610  0.6510  0.5510  0.60
Neighaus 1950   61  0.3265  0.0073  0.0470  0.0475  0.0387  0.03
Niedzielski 1931   35  0.3655  0.0050  0.0553  0.0523  0.3441  0.13
Ohlsson 1999   46  0.3432  0.0028  0.0831  0.2543  0.1333  0.18
Osinska 1989   56  0.3352  0.0034  0.0637  0.1574  0.0456  0.08
Pachmann 1927   43  0.3582  0.0032  0.0734  0.1919  0.4722  0.30
Paderewski 1930   73  0.2949  0.0071  0.0550  0.0530  0.3642  0.13
Perlemuter 1992   55  0.3339  0.0066  0.0381  0.0336  0.2055  0.08
Pierdomenico 2008   31  0.3723  0.0042  0.0640  0.1427  0.3431  0.22
Poblocka 1999   19  0.4117  0.0118  0.0926  0.3240  0.2126  0.26
Rabcewiczowa 1932   65  0.3147  0.0061  0.0377  0.0353  0.0673  0.04
Rachmaninoff 1923   10  0.473  0.138  0.2015  0.538  0.5813  0.55
Rangell 2001   32  0.3730  0.0056  0.0469  0.0439  0.2349  0.10
Richter 1976   1  0.516  0.083  0.197  0.6813  0.646  0.66
Rosen 1989   52  0.3372  0.0067  0.0471  0.0473  0.0383  0.03
Rosenthal 1930   75  0.2959  0.0080  0.0375  0.0355  0.0577  0.04
Rosenthal 1931   85  0.1979  0.0084  0.0286  0.0254  0.0581  0.03
Rosenthal 1931b   86  0.1984  0.0085  0.0385  0.0348  0.0680  0.04
Rosenthal 1931c   81  0.2567  0.0082  0.0374  0.0367  0.0488  0.03
Rosenthal 1931d   87  0.1785  0.0087  0.0376  0.0373  0.0486  0.03
Rossi 2007   83  0.2146  0.0062  0.0383  0.0315  0.4643  0.12
Rubinstein 1939   39  0.3525  0.0029  0.0830  0.2625  0.3024  0.28
Rubinstein 1952   38  0.3645  0.0039  0.0639  0.1447  0.0846  0.11
Rubinstein 1966   26  0.3837  0.0024  0.0923  0.4058  0.0734  0.17
Schilhawsky 1960   64  0.3180  0.0055  0.0463  0.0439  0.1358  0.07
Shebanova 2002   13  0.4518  0.0016  0.1516  0.5338  0.2718  0.38
Smith 1975   77  0.2819  0.0079  0.0555  0.0566  0.0472  0.04
Sokolov 2002   44  0.3433  0.0030  0.0928  0.2720  0.4419  0.34
Sztompka 1959   4  0.4913  0.027  0.186  0.696  0.703  0.69
Tomsic 1995   60  0.3286  0.0058  0.0551  0.0546  0.0862  0.06
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   3  0.502  0.152  0.161  0.741  0.702  0.72
Wasowski 1980   15  0.4527  0.0014  0.1713  0.5618  0.5114  0.53
Zak 1937   30  0.3743  0.0053  0.0557  0.0546  0.0761  0.06
Zak 1951   48  0.3487  0.0064  0.0384  0.0355  0.0574  0.04
Random 1   89  -0.0363  0.0090  0.0190  0.0142  0.0984  0.03
Random 2   88  0.0369  0.0088  0.0288  0.0226  0.2559  0.07
Random 3   90  -0.0462  0.0089  0.0189  0.0151  0.0590  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).