Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.729  0.0110  0.136  0.5512  0.478  0.51
Anderszewski 2003   53  0.5221  0.0038  0.0839  0.1736  0.1336  0.15
Ashkenazy 1981   43  0.5786  0.0027  0.0930  0.3432  0.2530  0.29
Bacha 2000   78  0.3840  0.0071  0.0656  0.0679  0.0362  0.04
Badura 1965   21  0.642  0.0416  0.1217  0.436  0.5411  0.48
Barbosa 1983   65  0.4810  0.0155  0.0655  0.0630  0.2245  0.11
Biret 1990   52  0.5255  0.0054  0.0657  0.0655  0.0561  0.05
Blet 2003   7  0.7220  0.0017  0.1211  0.4810  0.4513  0.46
Block 1995   58  0.5046  0.0036  0.0642  0.1347  0.0548  0.08
Blumental 1952   62  0.4958  0.0040  0.0643  0.1347  0.0549  0.08
Boshniakovich 1969   17  0.6513  0.0134  0.0633  0.2822  0.3627  0.32
Brailowsky 1960   77  0.4059  0.0081  0.0473  0.0484  0.0377  0.03
Bunin 1987   9  0.7115  0.0115  0.1115  0.452  0.597  0.52
Bunin 1987b   10  0.7125  0.0014  0.1114  0.452  0.606  0.52
Chiu 1999   74  0.4222  0.0065  0.0568  0.0571  0.0366  0.04
Cohen 1997   88  0.1560  0.0077  0.0382  0.0362  0.0483  0.03
Cortot 1951   12  0.6850  0.0019  0.1419  0.399  0.4919  0.44
Csalog 1996   71  0.4330  0.0059  0.0571  0.0536  0.1647  0.09
Czerny 1949   5  0.7328  0.006  0.095  0.5611  0.514  0.53
Czerny 1990   15  0.6670  0.0031  0.0831  0.3246  0.0639  0.14
Duchoud 2007   27  0.6079  0.0033  0.0929  0.3410  0.4225  0.38
Ezaki 2006   23  0.6367  0.0035  0.0734  0.2550  0.0543  0.11
Falvay 1989   81  0.3480  0.0086  0.0288  0.0286  0.0388  0.02
Farrell 1958   70  0.4372  0.0070  0.0474  0.0485  0.0381  0.03
Ferenczy 1958   14  0.668  0.0118  0.1118  0.404  0.5215  0.46
Fliere 1977   13  0.6732  0.0030  0.0627  0.3458  0.0441  0.12
Fou 1978   69  0.4361  0.0069  0.0572  0.0587  0.0370  0.04
Francois 1956   50  0.5353  0.0062  0.0846  0.0857  0.0554  0.06
Friedman 1923   66  0.4856  0.0025  0.0726  0.344  0.5917  0.45
Friedman 1923b   61  0.4962  0.0024  0.1022  0.385  0.5912  0.47
Friedman 1930   63  0.4990  0.0037  0.0736  0.2218  0.4229  0.30
Garcia 2007   46  0.5676  0.0051  0.0564  0.0516  0.4138  0.14
Garcia 2007b   75  0.4247  0.0052  0.0560  0.0523  0.2246  0.10
Gierzod 1998   16  0.665  0.0222  0.1116  0.4425  0.3324  0.38
Gornostaeva 1994   51  0.5341  0.0066  0.0565  0.0565  0.0375  0.04
Groot 1988   59  0.5069  0.0067  0.0651  0.0674  0.0376  0.04
Harasiewicz 1955   24  0.624  0.023  0.213  0.606  0.475  0.53
Hatto 1993   64  0.4945  0.0021  0.1123  0.3614  0.4323  0.39
Hatto 1997   48  0.5374  0.0013  0.1212  0.4713  0.4514  0.46
Horowitz 1949   36  0.5833  0.0045  0.0545  0.1122  0.4032  0.21
Indjic 1988   56  0.5168  0.0020  0.1021  0.3813  0.4421  0.41
Kapell 1951   8  0.7226  0.0011  0.1213  0.4710  0.4416  0.45
Kissin 1993   33  0.5942  0.0061  0.0749  0.0782  0.0358  0.05
Kushner 1989   34  0.5884  0.0058  0.0654  0.0669  0.0456  0.05
Luisada 1991   57  0.5023  0.0064  0.0570  0.0578  0.0364  0.04
Lushtak 2004   47  0.5449  0.0029  0.0732  0.3044  0.0935  0.16
Malcuzynski 1961   25  0.607  0.025  0.0835  0.2325  0.2431  0.23
Magaloff 1978   72  0.4231  0.0074  0.0567  0.0580  0.0367  0.04
Magin 1975   44  0.5734  0.0046  0.0653  0.0661  0.0455  0.05
Michalowski 1933   20  0.6463  0.007  0.097  0.535  0.533  0.53
Milkina 1970   54  0.5237  0.0068  0.0747  0.0749  0.0652  0.06
Mohovich 1999   29  0.6035  0.0050  0.0748  0.0754  0.0553  0.06
Moravec 1969   67  0.4536  0.0076  0.0479  0.0457  0.0463  0.04
Morozova 2008   41  0.5764  0.0048  0.0566  0.0574  0.0373  0.04
Neighaus 1950   22  0.6319  0.0012  0.139  0.5117  0.3420  0.42
Niedzielski 1931   45  0.5688  0.0056  0.0658  0.0644  0.0851  0.07
Ohlsson 1999   38  0.586  0.0228  0.0728  0.3427  0.2728  0.30
Osinska 1989   37  0.5851  0.0060  0.0563  0.0576  0.0365  0.04
Pachmann 1927   68  0.4548  0.0072  0.0475  0.0452  0.0571  0.04
Paderewski 1930   40  0.5711  0.0144  0.0644  0.1130  0.1937  0.14
Perlemuter 1992   18  0.6454  0.0026  0.0720  0.3922  0.3126  0.35
Pierdomenico 2008   79  0.3844  0.0079  0.0480  0.0476  0.0379  0.03
Poblocka 1999   2  0.753  0.034  0.168  0.5110  0.489  0.49
Rabcewiczowa 1932   32  0.5918  0.0043  0.0741  0.1528  0.2734  0.20
Rachmaninoff 1923   55  0.5183  0.0049  0.0561  0.0570  0.0468  0.04
Rangell 2001   73  0.4291  0.0075  0.0476  0.0468  0.0384  0.03
Richter 1976   19  0.6416  0.0032  0.0725  0.365  0.5418  0.44
Rosen 1989   42  0.5724  0.0053  0.0562  0.0572  0.0374  0.04
Rosenthal 1930   49  0.5317  0.0063  0.0650  0.0656  0.0460  0.05
Rosenthal 1931   82  0.3239  0.0082  0.0385  0.0381  0.0289  0.02
Rosenthal 1931b   85  0.3077  0.0083  0.0381  0.0383  0.0385  0.03
Rosenthal 1931c   76  0.4181  0.0078  0.0477  0.0488  0.0286  0.03
Rosenthal 1931d   84  0.3166  0.0084  0.0287  0.0276  0.0391  0.02
Rossi 2007   86  0.2689  0.0085  0.0286  0.0260  0.0578  0.03
Rubinstein 1939   87  0.2427  0.0088  0.0383  0.0372  0.0480  0.03
Rubinstein 1952   83  0.3271  0.0087  0.0384  0.0386  0.0387  0.03
Rubinstein 1966   80  0.3775  0.0080  0.0478  0.0478  0.0472  0.04
Schilhawsky 1960   4  0.7314  0.012  0.234  0.594  0.552  0.57
Shebanova 2002   26  0.6052  0.0042  0.0640  0.1545  0.1042  0.12
Smith 1975   35  0.5812  0.0157  0.0652  0.0676  0.0369  0.04
Sokolov 2002   30  0.6043  0.0023  0.1024  0.3618  0.4222  0.39
Sztompka 1959   11  0.7057  0.009  0.1110  0.4813  0.5010  0.49
Tomsic 1995   60  0.4985  0.0073  0.0659  0.0689  0.0282  0.03
Uninsky 1932   1  0.891  0.701  0.691  0.841  0.861  0.85
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   39  0.5865  0.0041  0.0638  0.1841  0.1040  0.13
Zak 1937   28  0.6029  0.0047  0.0569  0.0550  0.0657  0.05
Zak 1951   31  0.6073  0.0039  0.0737  0.1848  0.0744  0.11
Average   3  0.7438  0.008  0.102  0.6249  0.0733  0.21
Random 1   89  -0.0278  0.0090  0.0189  0.012  0.5950  0.08
Random 2   91  -0.0887  0.0089  0.0190  0.0117  0.2559  0.05
Random 3   90  -0.0782  0.0091  0.0191  0.0160  0.0490  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).