Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.6157  0.0050  0.0846  0.0861  0.0459  0.06
Anderszewski 2003   45  0.6044  0.0055  0.0554  0.0558  0.0470  0.04
Ashkenazy 1981   47  0.5913  0.0151  0.0652  0.0666  0.0464  0.05
Bacha 2000   33  0.6238  0.0046  0.0650  0.0620  0.3440  0.14
Badura 1965   79  0.4478  0.0076  0.0377  0.0362  0.0485  0.03
Barbosa 1983   75  0.4518  0.0160  0.0560  0.0554  0.0663  0.05
Biret 1990   22  0.6639  0.0040  0.0536  0.1861  0.0551  0.09
Blet 2003   64  0.5264  0.0071  0.0555  0.0570  0.0371  0.04
Block 1995   51  0.5848  0.0047  0.0553  0.0528  0.2649  0.11
Blumental 1952   71  0.4661  0.0073  0.0475  0.0484  0.0286  0.03
Boshniakovich 1969   36  0.625  0.0412  0.0739  0.1660  0.0454  0.08
Brailowsky 1960   4  0.743  0.103  0.188  0.482  0.612  0.54
Bunin 1987   74  0.4543  0.0079  0.0378  0.0355  0.0577  0.04
Bunin 1987b   76  0.4425  0.0078  0.0384  0.0355  0.0566  0.04
Chiu 1999   63  0.5282  0.0048  0.0847  0.0837  0.1844  0.12
Cohen 1997   72  0.4651  0.0069  0.0470  0.0410  0.3947  0.12
Cortot 1951   65  0.5047  0.0082  0.0386  0.0372  0.0487  0.03
Csalog 1996   80  0.4483  0.0075  0.0385  0.0374  0.0382  0.03
Czerny 1949   57  0.5565  0.0067  0.0476  0.0470  0.0475  0.04
Czerny 1990   18  0.6920  0.0120  0.0711  0.4436  0.1728  0.27
Duchoud 2007   69  0.4776  0.0081  0.0288  0.0278  0.0389  0.02
Ezaki 2006   15  0.6958  0.0032  0.0628  0.3041  0.1433  0.20
Falvay 1989   6  0.722  0.142  0.172  0.575  0.621  0.59
Farrell 1958   11  0.7059  0.0019  0.0810  0.477  0.499  0.48
Ferenczy 1958   77  0.4491  0.0086  0.0379  0.0367  0.0483  0.03
Fliere 1977   3  0.746  0.036  0.123  0.5626  0.3114  0.42
Fou 1978   26  0.6567  0.0022  0.0914  0.4228  0.3019  0.35
Francois 1956   23  0.6621  0.0026  0.0623  0.3223  0.3720  0.34
Friedman 1923   88  0.3085  0.0088  0.0473  0.0467  0.0579  0.04
Friedman 1923b   87  0.3079  0.0087  0.0466  0.0465  0.0578  0.04
Friedman 1930   70  0.4760  0.0063  0.0468  0.0467  0.0574  0.04
Garcia 2007   68  0.4781  0.0074  0.0462  0.0454  0.0576  0.04
Garcia 2007b   86  0.3686  0.0080  0.0381  0.0367  0.0488  0.03
Gierzod 1998   12  0.7035  0.0033  0.0824  0.3235  0.2426  0.28
Gornostaeva 1994   5  0.7442  0.0011  0.086  0.499  0.534  0.51
Groot 1988   9  0.7154  0.004  0.134  0.5013  0.517  0.50
Harasiewicz 1955   60  0.5453  0.0036  0.0638  0.1649  0.0552  0.09
Hatto 1993   83  0.4171  0.0066  0.0461  0.0434  0.1755  0.08
Hatto 1997   78  0.4445  0.0062  0.0558  0.0538  0.1353  0.08
Horowitz 1949   52  0.5768  0.0058  0.0749  0.0755  0.0461  0.05
Indjic 1988   82  0.4256  0.0065  0.0472  0.0439  0.1456  0.07
Kapell 1951   53  0.5584  0.0064  0.0474  0.0461  0.0465  0.04
Kissin 1993   10  0.7017  0.019  0.095  0.5022  0.3615  0.42
Kushner 1989   13  0.7034  0.0034  0.0930  0.2942  0.1434  0.20
Luisada 1991   32  0.6211  0.0228  0.0729  0.2937  0.1731  0.22
Lushtak 2004   44  0.6033  0.0017  0.0825  0.3130  0.2229  0.26
Malcuzynski 1961   21  0.6869  0.0035  0.1031  0.2623  0.2827  0.27
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   43  0.6146  0.0042  0.0641  0.1545  0.0945  0.12
Michalowski 1933   85  0.3963  0.0083  0.0383  0.0358  0.0668  0.04
Milkina 1970   2  0.7541  0.005  0.107  0.4816  0.4111  0.44
Mohovich 1999   7  0.7214  0.0110  0.089  0.4724  0.3913  0.43
Moravec 1969   50  0.5824  0.0057  0.0556  0.0522  0.3642  0.13
Morozova 2008   62  0.5232  0.0053  0.0464  0.0464  0.0473  0.04
Neighaus 1950   17  0.6923  0.0029  0.0626  0.3040  0.1436  0.20
Niedzielski 1931   56  0.5531  0.0049  0.0748  0.0742  0.1150  0.09
Ohlsson 1999   38  0.6230  0.0054  0.0465  0.0464  0.0467  0.04
Osinska 1989   8  0.7112  0.0131  0.0627  0.3031  0.2624  0.28
Pachmann 1927   59  0.5455  0.0056  0.0467  0.0411  0.3846  0.12
Paderewski 1930   25  0.6522  0.0041  0.0644  0.1322  0.3035  0.20
Perlemuter 1992   46  0.6089  0.0039  0.0540  0.1638  0.1241  0.14
Pierdomenico 2008   48  0.597  0.028  0.1020  0.3611  0.4516  0.40
Poblocka 1999   54  0.5566  0.0072  0.0463  0.0485  0.0380  0.03
Rabcewiczowa 1932   34  0.629  0.0244  0.0643  0.1434  0.2137  0.17
Rachmaninoff 1923   30  0.648  0.0218  0.0818  0.3719  0.3618  0.36
Rangell 2001   49  0.5829  0.0024  0.0735  0.1829  0.2732  0.22
Richter 1976   73  0.4675  0.0077  0.0287  0.0265  0.0481  0.03
Rosen 1989   16  0.6919  0.0123  0.0722  0.3423  0.3122  0.32
Rosenthal 1930   27  0.6452  0.0038  0.0634  0.2011  0.4823  0.31
Rosenthal 1931   29  0.6488  0.0021  0.0719  0.375  0.658  0.49
Rosenthal 1931b   24  0.6687  0.0016  0.0913  0.425  0.635  0.51
Rosenthal 1931c   14  0.6916  0.0114  0.0716  0.417  0.646  0.51
Rosenthal 1931d   19  0.6973  0.0015  0.0912  0.445  0.663  0.54
Rossi 2007   66  0.484  0.057  0.0737  0.1810  0.4525  0.28
Rubinstein 1939   67  0.4726  0.0070  0.0471  0.0422  0.3148  0.11
Rubinstein 1952   35  0.6210  0.0227  0.0817  0.3710  0.5610  0.46
Rubinstein 1966   41  0.6174  0.0052  0.0651  0.0630  0.2943  0.13
Schilhawsky 1960   61  0.5377  0.0061  0.0559  0.0560  0.0472  0.04
Shebanova 2002   28  0.6415  0.0145  0.0645  0.1270  0.0457  0.07
Smith 1975   20  0.6840  0.0013  0.0715  0.4117  0.3717  0.39
Sokolov 2002   39  0.6227  0.0043  0.0542  0.1441  0.1838  0.16
Sztompka 1959   55  0.5537  0.0068  0.0469  0.0461  0.0662  0.05
Tomsic 1995   31  0.6372  0.0030  0.0532  0.2519  0.4421  0.33
Uninsky 1932   84  0.4150  0.0085  0.0382  0.0375  0.0484  0.03
Uninsky 1971   81  0.4270  0.0084  0.0380  0.0367  0.0569  0.04
Wasowski 1980   58  0.5428  0.0059  0.0557  0.0552  0.0560  0.05
Zak 1937   37  0.6262  0.0037  0.0633  0.2343  0.1139  0.16
Zak 1951   40  0.6136  0.0025  0.0621  0.3536  0.1530  0.23
Average   1  0.791  0.401  0.391  0.7332  0.2512  0.43
Random 1   91  -0.1480  0.0090  0.0190  0.0161  0.0490  0.02
Random 2   89  -0.0490  0.0089  0.0289  0.0229  0.1858  0.06
Random 3   90  -0.0949  0.0091  0.0191  0.0175  0.0291  0.01

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).