Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.4673  0.0049  0.0749  0.0712  0.5038  0.19
Anderszewski 2003   17  0.5322  0.0021  0.1019  0.4737  0.2926  0.37
Ashkenazy 1981   70  0.3770  0.0077  0.0383  0.0367  0.0388  0.03
Bacha 2000   52  0.4412  0.0151  0.0654  0.0616  0.4242  0.16
Badura 1965   62  0.3963  0.0064  0.0558  0.0551  0.0669  0.05
Barbosa 1983   2  0.5721  0.018  0.177  0.6425  0.418  0.51
Biret 1990   16  0.5325  0.009  0.1613  0.5130  0.3618  0.43
Blet 2003   76  0.3387  0.0082  0.0373  0.0369  0.0385  0.03
Block 1995   63  0.3944  0.0068  0.0377  0.0367  0.0487  0.03
Blumental 1952   10  0.5527  0.0020  0.0915  0.5030  0.4413  0.47
Boshniakovich 1969   50  0.443  0.0214  0.1234  0.3052  0.0647  0.13
Brailowsky 1960   3  0.577  0.0210  0.1512  0.5418  0.546  0.54
Bunin 1987   69  0.3750  0.0061  0.0656  0.0656  0.0570  0.05
Bunin 1987b   72  0.3677  0.0060  0.0367  0.0364  0.0575  0.04
Chiu 1999   48  0.4511  0.0139  0.0739  0.2016  0.4033  0.28
Cohen 1997   78  0.3154  0.0076  0.0374  0.0356  0.0489  0.03
Cortot 1951   47  0.4574  0.0048  0.0653  0.0610  0.6140  0.19
Csalog 1996   66  0.3838  0.0057  0.0463  0.0460  0.0576  0.04
Czerny 1949   23  0.5157  0.0027  0.0817  0.4931  0.4612  0.47
Czerny 1990   15  0.5319  0.0111  0.138  0.5939  0.409  0.49
Duchoud 2007   75  0.3347  0.0078  0.0370  0.0344  0.1762  0.07
Ezaki 2006   9  0.5524  0.0015  0.1120  0.4537  0.2128  0.31
Falvay 1989   22  0.5180  0.0042  0.0840  0.2047  0.0651  0.11
Farrell 1958   46  0.4559  0.0046  0.0946  0.0937  0.2843  0.16
Ferenczy 1958   64  0.3958  0.0066  0.0466  0.0464  0.0578  0.04
Fliere 1977   6  0.564  0.025  0.1511  0.5529  0.3914  0.46
Fou 1978   33  0.4816  0.0144  0.0644  0.1553  0.0555  0.09
Francois 1956   71  0.3636  0.0059  0.0461  0.0437  0.2156  0.09
Friedman 1923   77  0.3165  0.0079  0.0379  0.0354  0.0581  0.04
Friedman 1923b   79  0.3068  0.0080  0.0371  0.0345  0.1071  0.05
Friedman 1930   84  0.2781  0.0081  0.0375  0.0355  0.0677  0.04
Garcia 2007   87  0.2284  0.0088  0.0376  0.0381  0.0386  0.03
Garcia 2007b   68  0.3839  0.0031  0.0645  0.1343  0.1249  0.12
Gierzod 1998   4  0.5755  0.007  0.136  0.6437  0.2820  0.42
Gornostaeva 1994   42  0.4752  0.0047  0.0752  0.0751  0.0565  0.06
Groot 1988   36  0.482  0.036  0.1523  0.4116  0.3923  0.40
Harasiewicz 1955   12  0.5466  0.0022  0.1410  0.5639  0.3221  0.42
Hatto 1993   5  0.579  0.012  0.182  0.6714  0.531  0.60
Hatto 1997   8  0.5610  0.014  0.154  0.6518  0.513  0.58
Horowitz 1949   74  0.3588  0.0072  0.0284  0.0223  0.3657  0.08
Indjic 1988   7  0.5634  0.003  0.173  0.6617  0.522  0.59
Kapell 1951   41  0.4723  0.0052  0.0748  0.0751  0.0760  0.07
Kissin 1993   34  0.4853  0.0043  0.0842  0.1645  0.2041  0.18
Kushner 1989   29  0.4975  0.0041  0.0638  0.2560  0.0552  0.11
Luisada 1991   49  0.4426  0.0054  0.0655  0.0635  0.2250  0.11
Lushtak 2004   27  0.5031  0.0019  0.0921  0.4535  0.3325  0.39
Malcuzynski 1961   31  0.4982  0.0033  0.0629  0.3654  0.0644  0.15
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   45  0.4669  0.0050  0.0750  0.0757  0.0564  0.06
Michalowski 1933   86  0.2467  0.0084  0.0285  0.0224  0.3258  0.08
Milkina 1970   11  0.545  0.0212  0.145  0.6438  0.2424  0.39
Mohovich 1999   61  0.4089  0.0063  0.0460  0.0473  0.0480  0.04
Moravec 1969   19  0.5315  0.0132  0.0631  0.3431  0.2729  0.30
Morozova 2008   38  0.4743  0.0038  0.0636  0.2631  0.2935  0.27
Neighaus 1950   73  0.3656  0.0075  0.0368  0.0340  0.1266  0.06
Niedzielski 1931   83  0.2778  0.0087  0.0381  0.0366  0.0483  0.03
Ohlsson 1999   51  0.4417  0.0145  0.0843  0.1632  0.3237  0.23
Osinska 1989   30  0.4985  0.0034  0.0732  0.3350  0.0645  0.14
Pachmann 1927   82  0.2835  0.0065  0.0465  0.0435  0.2853  0.11
Paderewski 1930   88  0.2032  0.0071  0.0287  0.0228  0.2461  0.07
Perlemuter 1992   85  0.2576  0.0085  0.0288  0.0275  0.0390  0.02
Pierdomenico 2008   81  0.2890  0.0083  0.0382  0.0357  0.0573  0.04
Poblocka 1999   13  0.5471  0.0017  0.0914  0.5029  0.3915  0.44
Rabcewiczowa 1932   43  0.4730  0.0024  0.0730  0.3635  0.2432  0.29
Rachmaninoff 1923   21  0.5140  0.0016  0.0924  0.419  0.5511  0.47
Rangell 2001   65  0.3933  0.0074  0.0372  0.0346  0.0872  0.05
Richter 1976   39  0.4741  0.0040  0.0641  0.1826  0.4134  0.27
Rosen 1989   53  0.4348  0.0058  0.0464  0.0457  0.0479  0.04
Rosenthal 1930   32  0.4972  0.0036  0.0535  0.2910  0.6517  0.43
Rosenthal 1931   57  0.4161  0.0055  0.0557  0.0528  0.3746  0.14
Rosenthal 1931b   67  0.3879  0.0069  0.0369  0.0341  0.1863  0.07
Rosenthal 1931c   28  0.5014  0.0128  0.0728  0.3610  0.6310  0.48
Rosenthal 1931d   59  0.4149  0.0056  0.0847  0.0822  0.4439  0.19
Rossi 2007   80  0.3051  0.0086  0.0286  0.0264  0.0482  0.03
Rubinstein 1939   35  0.4862  0.0037  0.0637  0.2531  0.3331  0.29
Rubinstein 1952   20  0.5220  0.0125  0.0922  0.4142  0.1636  0.26
Rubinstein 1966   14  0.5437  0.0023  0.1116  0.4943  0.2227  0.33
Schilhawsky 1960   24  0.5183  0.0035  0.0827  0.3622  0.4919  0.42
Shebanova 2002   25  0.5118  0.0129  0.0726  0.3719  0.4322  0.40
Smith 1975   26  0.5060  0.0030  0.0825  0.3917  0.4716  0.43
Sokolov 2002   55  0.4228  0.0062  0.0462  0.0451  0.0667  0.05
Sztompka 1959   56  0.4129  0.0053  0.0751  0.0741  0.2148  0.12
Tomsic 1995   54  0.4245  0.0067  0.0559  0.0560  0.0668  0.05
Uninsky 1932   40  0.478  0.0118  0.0818  0.485  0.704  0.58
Uninsky 1971   18  0.536  0.0213  0.119  0.5715  0.545  0.55
Wasowski 1980   37  0.4713  0.0126  0.0833  0.3237  0.2730  0.29
Zak 1937   58  0.4142  0.0070  0.0380  0.0350  0.0574  0.04
Zak 1951   60  0.4046  0.0073  0.0378  0.0361  0.0484  0.03
Average   1  0.701  0.681  0.671  0.8434  0.347  0.53
Random 1   91  -0.1291  0.0091  0.0191  0.0171  0.0291  0.01
Random 2   89  0.1264  0.0089  0.0289  0.022  0.5354  0.10
Random 3   90  -0.0286  0.0090  0.0290  0.0216  0.3359  0.08

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).