Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6431  0.0011  0.109  0.5832  0.3511  0.45
Anderszewski 2003   21  0.5814  0.0029  0.1137  0.3046  0.0538  0.12
Ashkenazy 1981   19  0.5924  0.0014  0.1416  0.5323  0.3713  0.44
Bacha 2000   53  0.4765  0.0057  0.0654  0.0669  0.0454  0.05
Badura 1965   10  0.6346  0.0016  0.1017  0.5113  0.547  0.52
Barbosa 1983   60  0.4566  0.0064  0.0469  0.0475  0.0468  0.04
Biret 1990   54  0.4767  0.0060  0.0563  0.0563  0.0473  0.04
Blet 2003   63  0.436  0.0067  0.0471  0.0469  0.0384  0.03
Block 1995   51  0.4768  0.0049  0.0656  0.0650  0.0652  0.06
Blumental 1952   42  0.5132  0.0043  0.0544  0.1352  0.0546  0.08
Boshniakovich 1969   27  0.5647  0.0020  0.0820  0.4849  0.0722  0.18
Brailowsky 1960   52  0.4733  0.0065  0.0649  0.0652  0.0649  0.06
Bunin 1987   77  0.3569  0.0050  0.0564  0.0543  0.1940  0.10
Bunin 1987b   78  0.3370  0.0058  0.0470  0.0445  0.1248  0.07
Chiu 1999   34  0.5471  0.0047  0.0650  0.0650  0.0651  0.06
Cohen 1997   84  0.3072  0.0085  0.0288  0.0285  0.0390  0.02
Cortot 1951   69  0.3973  0.0076  0.0382  0.0375  0.0388  0.03
Csalog 1996   88  0.2374  0.0086  0.0385  0.0387  0.0383  0.03
Czerny 1949   14  0.6134  0.008  0.198  0.6029  0.449  0.51
Czerny 1990   15  0.6175  0.0018  0.1215  0.5357  0.0623  0.18
Duchoud 2007   73  0.3648  0.0072  0.0565  0.0569  0.0470  0.04
Ezaki 2006   24  0.5649  0.0038  0.1038  0.2448  0.0734  0.13
Falvay 1989   79  0.3319  0.0087  0.0475  0.0482  0.0378  0.03
Farrell 1958   48  0.4950  0.0063  0.0566  0.0572  0.0466  0.04
Ferenczy 1958   56  0.4638  0.0052  0.0559  0.0543  0.1543  0.09
Fliere 1977   13  0.6135  0.0022  0.1129  0.4276  0.0435  0.13
Fou 1978   45  0.5036  0.0053  0.0561  0.0562  0.0557  0.05
Francois 1956   62  0.4476  0.0056  0.0562  0.0561  0.0476  0.04
Friedman 1923   1  0.981  0.991  0.981  0.991  0.991  0.99
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.844  0.002  0.772  0.872  0.892  0.88
Garcia 2007   66  0.4151  0.0077  0.0477  0.0460  0.0571  0.04
Garcia 2007b   49  0.4839  0.0046  0.0747  0.0780  0.0362  0.05
Gierzod 1998   22  0.578  0.0021  0.0823  0.4646  0.0721  0.18
Gornostaeva 1994   41  0.5177  0.0039  0.0839  0.2272  0.0347  0.08
Groot 1988   70  0.3940  0.0069  0.0648  0.0673  0.0460  0.05
Harasiewicz 1955   9  0.6325  0.0017  0.1012  0.5550  0.0529  0.17
Hatto 1993   6  0.7078  0.004  0.225  0.7111  0.505  0.60
Hatto 1997   5  0.7052  0.006  0.266  0.7010  0.524  0.60
Horowitz 1949   44  0.5179  0.0037  0.0833  0.3624  0.4615  0.41
Indjic 1988   4  0.7180  0.005  0.314  0.7110  0.523  0.61
Kapell 1951   67  0.4153  0.0061  0.0653  0.0676  0.0458  0.05
Kissin 1993   37  0.5481  0.0031  0.1119  0.4849  0.0626  0.17
Kushner 1989   46  0.5082  0.0055  0.0560  0.0588  0.0280  0.03
Luisada 1991   11  0.6113  0.0015  0.1718  0.4920  0.3714  0.43
Lushtak 2004   40  0.5254  0.0054  0.0558  0.0572  0.0472  0.04
Malcuzynski 1961   57  0.4620  0.0040  0.0842  0.1757  0.0445  0.08
Magaloff 1978   59  0.4555  0.0059  0.0568  0.0556  0.0556  0.05
Magin 1975   29  0.5517  0.0026  0.0830  0.4059  0.0436  0.13
Michalowski 1933   55  0.4783  0.0048  0.0557  0.0544  0.1841  0.09
Milkina 1970   39  0.5284  0.0034  0.0932  0.3766  0.0532  0.14
Mohovich 1999   58  0.4556  0.0062  0.0746  0.0766  0.0459  0.05
Moravec 1969   76  0.359  0.0073  0.0473  0.0460  0.0563  0.04
Morozova 2008   26  0.5615  0.0032  0.0935  0.3446  0.0633  0.14
Neighaus 1950   7  0.6510  0.003  0.197  0.6213  0.556  0.58
Niedzielski 1931   17  0.6011  0.0013  0.1214  0.537  0.508  0.51
Ohlsson 1999   25  0.5626  0.0027  0.0936  0.3365  0.0439  0.11
Osinska 1989   30  0.5541  0.0035  0.0931  0.3962  0.0531  0.14
Pachmann 1927   71  0.385  0.0084  0.0386  0.0362  0.0482  0.03
Paderewski 1930   72  0.3785  0.0071  0.0472  0.0459  0.0467  0.04
Perlemuter 1992   64  0.4327  0.0068  0.0652  0.0659  0.0455  0.05
Pierdomenico 2008   85  0.2886  0.0083  0.0383  0.0383  0.0379  0.03
Poblocka 1999   50  0.4842  0.0044  0.0643  0.1384  0.0350  0.06
Rabcewiczowa 1932   68  0.4021  0.0070  0.0651  0.0687  0.0365  0.04
Rachmaninoff 1923   18  0.5987  0.0023  0.0924  0.4635  0.2318  0.33
Rangell 2001   86  0.2757  0.0079  0.0381  0.0368  0.0486  0.03
Richter 1976   47  0.492  0.0041  0.0840  0.1736  0.3319  0.24
Rosen 1989   32  0.5558  0.0030  0.0927  0.4247  0.0728  0.17
Rosenthal 1930   74  0.363  0.0074  0.0379  0.0370  0.0385  0.03
Rosenthal 1931   81  0.3222  0.0080  0.0478  0.0464  0.0469  0.04
Rosenthal 1931b   82  0.3159  0.0081  0.0384  0.0363  0.0574  0.04
Rosenthal 1931c   80  0.3223  0.0078  0.0476  0.0464  0.0475  0.04
Rosenthal 1931d   83  0.3160  0.0082  0.0287  0.0274  0.0487  0.03
Rossi 2007   61  0.4418  0.0075  0.0380  0.0363  0.0477  0.03
Rubinstein 1939   43  0.5128  0.0045  0.0645  0.1349  0.0544  0.08
Rubinstein 1952   75  0.3661  0.0066  0.0567  0.0558  0.0561  0.05
Rubinstein 1966   33  0.5516  0.0042  0.0641  0.1766  0.0542  0.09
Schilhawsky 1960   23  0.5643  0.0028  0.1022  0.4751  0.0627  0.17
Shebanova 2002   31  0.5544  0.0019  0.0725  0.4459  0.0530  0.15
Smith 1975   36  0.5412  0.0036  0.1034  0.3567  0.0437  0.12
Sokolov 2002   65  0.4229  0.0051  0.0655  0.0676  0.0364  0.04
Sztompka 1959   20  0.5937  0.0025  0.0821  0.4754  0.0625  0.17
Tomsic 1995   87  0.2488  0.0088  0.0474  0.0484  0.0381  0.03
Uninsky 1932   38  0.5489  0.0024  0.0926  0.4236  0.3317  0.37
Uninsky 1971   35  0.5490  0.009  0.1510  0.5729  0.4010  0.48
Wasowski 1980   28  0.5562  0.0033  0.1228  0.4252  0.0724  0.17
Zak 1937   12  0.6163  0.0010  0.1711  0.5628  0.3512  0.44
Zak 1951   16  0.6145  0.0012  0.1413  0.5533  0.2916  0.40
Average   3  0.717  0.007  0.423  0.7753  0.0720  0.23
Random 1   90  -0.1364  0.0089  0.0289  0.0233  0.1753  0.06
Random 2   89  -0.0830  0.0090  0.0190  0.0179  0.0389  0.02
Random 3   91  -0.1591  0.0091  0.0191  0.0190  0.0191  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).